44 datasets found
  1. Data from : Insect-mediated pollination improves fruit quality of...

    • figshare.com
    txt
    Updated Mar 23, 2024
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    Elsa Blareau; Fabrice Requier (2024). Data from : Insect-mediated pollination improves fruit quality of strawberries in an urban environment [Dataset]. http://doi.org/10.6084/m9.figshare.24187542.v1
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    Dataset updated
    Mar 23, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Elsa Blareau; Fabrice Requier
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset result from an experiment in an urban area near Paris (France) to test whether pollinators present in an urban environment contributed to the production of strawberries (Fragaria × ananassa). We performed flower-visitor observations and pollination experiments on strawberries, Fragaria × ananassa, in an urban area near Paris, France, in order to assess the effects of (i) insect-mediated pollination service and (ii) potential pollination deficit on fruit set, seed set, and fruit quality (size, weight and malformation). Flower-visitor observations revealed that the pollinator community was solely comprised of unmanaged pollinators, despite the presence of apiaries in the surrounding landscape. Based on the pollination experiments, we found that the pollination service mediated by wild insects improved fruit size as a qualitative value of production, but not fruit set. We also found no evidence for pollination deficit in our urban environment. These results suggest that the local community of wild urban pollinators is able to support strawberry crop production, and thus plays an important role in providing high quality, local and sustainable crops in urban areas. The data are related to the scientific paper "Blareau, E., Sy, P., Daoud, K., Requier, F. (under review) Economic costs of the invasive Yellow-legged hornet on honey bees. Insects".Three datasets are available:(1) Flower visitor observations were performed during the whole flowering period, from the 20th of April to the 27th of May 2021 (24 observation days). Flower visitor observations consisted of a 10 minutes observation sessions carried out between 9am and 6pm. We favoured days with temperatures above 12°C, with little cloud cover and no wind although some observation sessions were carried out on cloudy days since several occurred during the flowering period. Each flower was observed several times (i.e. several 10 minute observation sessions per flower) but never on the same day. Subsequent observations of a same flower were carried out at a later date at different times of day, in order to maximise our chances of seeing a diversity of pollinators, since different pollinators are active at different times of day [5,55]. Over the flowering period, we carried out 30 h and 10 min of flower observations (181 time replicates of 10-minute observations) on a total of 88 flowers (each observed on average 2.9 ± 1.1 times). We observed an average of 10.7 ± 7.4 flowers per day. An average of 4.4 ± 2.3 flowers were observed per location. Each flower visitor was counted and identified within the following 8 categories: honey bee (Apis mellifera), bumble bee (Bombus sp.), solitary bee, hoverfly (Syrphidae), other fly (Diptera), ant (Formicidae), thrips (Thysanoptera) or other insect.Data are available as a csv file titled " Flower.visitors.csv” with the following metadata:# METADATA# 'data.frame': 257 obs. of 11 variables:# $ FlowerID : Factor variable ; identity of the flower# $ Honey bee : Numeric variable; number of honey bees observed# $ Bumble bee : Numeric variable; number of bumble bees observed# $ Solitary bee: Numeric variable; number of solitary bees observed# $ Hoverfly : Numeric variable; number of hoverflies observed# $ Other fly : Numeric variable; number of other flies observed# $ Ant : Numeric variable; number of ants observed# $ Beetle : Numeric variable; number of beetles observed# $ Spider : Numeric variable; number of spiders observed# $ Thrip : Numeric variable; number of thrips observed# $ Other insect: Numeric variable; number of other insects observed(2) We performed pollination treatments at each location during the same time period as pollinator observations, to assess pollination services provided by the urban pollinator community. The four treatments are as follows: (i) flowers open to pollinator visits, (ii) flowers open to pollinator visits and cross pollinated by hand, (iii) flowers excluded from pollinator visits (self or wind pollination only), and (iv) flowers cross-pollinated by hand and excluded from pollinator visits. Comparing self/wind and hand pollination measures pollinator dependence. Comparing self/wind and open pollination measures pollination service, i.e. the contribution of insect pollinators to crop production. Comparing open and hand pollination measures pollination deficit, i.e. whether pollinators are able to saturate the flower in pollen, thus allowing it to produce fruit at its highest potential. Comparing open pollination with and without hand pollination indicates whether insect pollination alone is sufficient to maximise fruit yield. The comparison of hand pollination and open pollination with hand pollination indicates whether hand pollination only is enough to maximise fruit production, or weather an input from pollinators is necessary. Plants from the self/wind pollination treatment and the hand pollination treatment were bagged with mesh netting (Alt’Droso Maraichage, 0.8 × 0.8 mm mesh) to prevent pollinators from visiting these flowers. For treatments that required hand pollination, pollen was collected from the study plants. We visited each flower twice within the same day with a paintbrush to ensure flowers of the same treatment received pollen from several other plants. In total, 172 flowers were considered for the pollination experiment, 46 flowers were affected to the open pollination treatment (2.3 ± 1.2 per location), 28 to the hand and open pollination treatment (1.4 ± 0.9 per location), 63 to the self/wind pollination treatment (3.2 ± 1.5 per location), and 35 to the hand pollination treatment (1.8 ± 1.3 per location). Once flowering was over, we measured fruit set by recording whether each flower from each pollination treatment successfully produced fruit or not.Data are available as a csv file titled "Fruit.set.csv” with the following metadata:# METADATA# 'data.frame': 172 obs. of 3 variables:# $ Location : Factor variable ; identity of the location of the plant# $ Treatment: Factor variable ; identity of the pollination treatment with: O for flowers open to pollinator visits; O+H for flowers open to pollinator visits and cross pollinated by hand; E for flowers excluded from pollinator visits (self or wind pollination only), and E+H for flowers cross-pollinated by hand and excluded from pollinator visits# $ Fruit set: Numeric variable; fruit set with O for failure (no fruit) and 1 for success (fruit formed)(3) Fruits were then harvested once they were fully formed (i.e. as soon as fruits had fully reddened), between the 31st of May and the 10th of June 2021. We recorded fruit malformation, by considering a fruit with a clear aggregation of unfertilised achenes as showing a malformation (Fig. S3). We measured fruit weight (Ohaus, Adventurer, precision 0.01 g, capacity 3100 g) and fruit size as the maximum width at the widest point (France métrologie, accuracy 1 mm, capacity 1600 mm) within one day of harvesting. We chose width as the measure for fruit size since it is used to determine the commercial class of fruits [46]. Seed set was then counted once all fruits had been cropped. For maximum precision, strawberry flesh was separated from the seeds before counting, using a small meshed sieve which collected only the seeds.Data are available as a csv file titled "Fruit.quality.csv” with the following metadata:# METADATA# 'data.frame': 125 obs. of 6 variables:# $ Location : Factor variable ; identity of the location of the plant# $ Treatment : Factor variable ; identity of the pollination treatment with: O for flowers open to pollinator visits; O+H for flowers open to pollinator visits and cross pollinated by hand; E for flowers excluded from pollinator visits (self or wind pollination only), and E+H for flowers cross-pollinated by hand and excluded from pollinator visits# $ Fruit malformation: Numeric variable; fruit malformation with O for the absence of malformation and 1 for the presence of malformation# $ Fruit size : Numeric variable; size of the fruit (in cm)# $ Fruit weight : Numeric variable; weight of the fruit (in g)# $ Seed number : Numeric variable; number of seeds

  2. D

    Pollination Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Pollination Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-pollination-service-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Pollination Service Market Outlook



    The global pollination service market size was valued at approximately USD 9.5 billion in 2023 and is projected to reach around USD 14.7 billion by 2032, growing at a CAGR of 4.9% during the forecast period. The growth of this market is driven by the increasing awareness regarding the importance of pollination for agricultural productivity, the rising demand for high-quality crops, and the growing scarcity of natural pollinators.



    One of the major growth factors for the pollination service market is the escalating concern over the decline in natural pollinator populations. Bees, butterflies, and other pollinators are experiencing significant population declines due to factors like habitat loss, pesticide use, and climate change. This has led to increased reliance on managed pollination services. Managed pollination services ensure the effective and efficient pollination of crops, thereby enhancing agricultural yields and food security. Additionally, government initiatives and subsidies aimed at promoting sustainable agricultural practices are further propelling the demand for pollination services.



    Technological advancements in the field of pollination services are also contributing to market growth. Innovations such as robotic pollinators, precision agriculture techniques, and the development of pollinator-friendly habitats are revolutionizing the way pollination services are delivered. These technologies not only improve the efficiency of pollination but also reduce dependency on natural pollinators. The integration of data analytics and IoT in pollination services is enabling farmers to monitor pollination activities in real-time, leading to better crop management and increased productivity.



    The rising demand for high-quality and diverse crops is another critical factor driving the pollination service market. Consumer preferences are shifting towards organic and sustainably grown produce, which necessitates effective pollination. Pollination services play a crucial role in ensuring the production of fruits, vegetables, nuts, and seeds that meet high-quality standards. Moreover, the expanding global population and the subsequent increase in food demand are compelling farmers to adopt pollination services to enhance crop yield and meet market requirements.



    The role of Bee Breeding Equipment is becoming increasingly significant in the pollination service market. As the demand for managed pollination services grows, beekeepers are turning to advanced bee breeding equipment to enhance the health and productivity of their bee colonies. This equipment includes tools for hive management, queen rearing, and colony monitoring, which are essential for maintaining robust bee populations. By using specialized breeding equipment, beekeepers can ensure the genetic diversity and resilience of their bees, which is crucial for effective pollination. The integration of modern technology in bee breeding not only supports the sustainability of bee populations but also contributes to the overall efficiency of pollination services.



    From a regional perspective, North America and Europe are leading the pollination service market due to the well-established agricultural sectors and high adoption rates of advanced farming techniques in these regions. The Asia Pacific region is expected to witness significant growth during the forecast period, driven by the increasing agricultural activities and rising awareness about the benefits of pollination services. Latin America and the Middle East & Africa are also emerging as potential markets owing to the growing emphasis on improving agricultural productivity and food security.



    Type Analysis



    The pollination service market is segmented into managed pollination services and unmanaged pollination services. Managed pollination services involve the active management and deployment of pollinators, primarily bees, to ensure optimal pollination of crops. This segment is witnessing substantial growth due to the increasing reliance on managed pollinators in commercial agriculture. Farmers are increasingly opting for managed pollination services to enhance crop yields and ensure the production of high-quality produce. Managed pollination services also offer the advantage of controlled pollination, which is crucial for crops requiring specific pollination conditions.



    Unmanaged pollination services, on the other hand, rely on natural pollinators such as wild b

  3. f

    Data from: Global synthesis of apple pollination research highlights general...

    • figshare.com
    xls
    Updated Aug 13, 2025
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    Maxime Eeraerts (2025). Global synthesis of apple pollination research highlights general pollen limitation and positive contributions of wild bees compared to honeybees [Dataset]. http://doi.org/10.6084/m9.figshare.29900609.v1
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    xlsAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset provided by
    figshare
    Authors
    Maxime Eeraerts
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Apple is one of the most important pollinator-dependent fruit crops worldwide. To secure high-quality yields, it is crucial to know which, and to what extent, pollinating insects contribute to its pollination success as measured by fruit set, fruit weight, and seed set.We perform a meta-analysis of field studies conducted across multiple orchards on insect-mediated pollination in apple cultivation, using raw data from 29 studies, totalling 532 orchard replictes. We assessed the extent of pollen limitation on different pollination outcomes and assessed the contribution of honeybees, wild bees and bee species richness to apple pollination.Across all studies, we detected strong evidence of pollen limitation for fruit set and seed set, but not for fruit weight. Honeybees were the most abundant flower-visitors (average relative visitation of 71.9%) compared to wild bees, but when correcting for their pollination efficiency, the relative pollination contribution of honeybees was lower compared to their relative visitation (vice versa for solitary bees).We conclude that honeybee visitation rate did not influence fruit or seed set, yet increasing honeybee visitation had a small, negative effect on fruit weight. Fruit set was not influenced by wild bee visitation rate, whereas wild bee visitation had a small, but clear positive effect on fruit weight and seed set. Bee species richness had a small, positive effect on seed set, whereas it did not affect on fruit set and fruit weight.Syntheses and applications: Our study highlights that pollen limitation is common in this global crop. While managed honeybees are dominant pollinators, a diverse community of wild bees contributes significantly to apple pollination and high-quality yield. The positive effect of wild bees and species richness on fruit weight and seed set demonstrates that wild bee pollination results in better-quality fruit production (increased weight & seed set). Therefore, our synthesis highlights the importance of conserving pollinator diversity to maintain pollination services. The absence of a clear effect of honeybee visitation rate on fruit and seed set, coupled with its negative impact on fruit weight, suggests a need for further optimisation of honeybee management to improve the cost-efficiency of pollination management.

  4. f

    Data_Sheet_1_Diversity and Relative Abundance of Insect Pollinators in...

    • frontiersin.figshare.com
    zip
    Updated Jun 3, 2023
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    Insafe El Abdouni; Patrick Lhomme; Stefanie Christmann; Achik Dorchin; Ahlam Sentil; Alain Pauly; Laila Hamroud; Oumayma Ihsane; Sara Reverté; Sebastien Patiny; Thomas J. Wood; Youssef Bencharki; Pierre Rasmont; Denis Michez (2023). Data_Sheet_1_Diversity and Relative Abundance of Insect Pollinators in Moroccan Agroecosystems.zip [Dataset]. http://doi.org/10.3389/fevo.2022.866581.s001
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    zipAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Insafe El Abdouni; Patrick Lhomme; Stefanie Christmann; Achik Dorchin; Ahlam Sentil; Alain Pauly; Laila Hamroud; Oumayma Ihsane; Sara Reverté; Sebastien Patiny; Thomas J. Wood; Youssef Bencharki; Pierre Rasmont; Denis Michez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Agroecosystems are often impoverished ecosystems, but they can host diverse communities of insects which provide ecosystem services. Specifically, crops may benefit from insect pollinators that increase their quantity and quality of yields. Basic knowledge is still needed regarding the identity, diversity, abundance, and ecology of insect pollinators in many parts of the world, especially in low and middle-income countries. In this study we investigate the potential of agroecosystems and crops in Morocco to host a high diversity of insect pollinators. We sampled insects in four eco-climatic regions encompassing a total of 22 crops for 2 years (2018–2019). After describing the general pattern of diversity and abundance of insect pollinators, we focused our comparative analyses on bees as they are known to be the most efficient and abundant group of insect pollinators. We recorded a total of 53,361 insect pollinators in all agroecosystems among which 37,091 were visiting crop flowers. Bees were by far the most abundant group visiting crops. Honeybees represented 49% of crop visitors followed by wild bees representing 33% of relative abundance. Three genera (Lasioglossum, Andrena, and Xylocopa) represented 53% of the total abundance of wild bees visiting crops. We identified a total of 213 species visiting crops (22% of national wild bee species richness). A comparison of the abundance, species richness, and community composition of wild bees visiting the same crops showed significant inter-regional differences for zucchini, faba bean, and eggplant. This study highlights the high diversity of pollinators in Moroccan agroecosystems and represents an important step toward exploring the Moroccan pollinator fauna. It provides basic information for future studies on pollinator conservation and pollination services.

  5. d

    Local farm management and landscape effects on native bee pollinators in...

    • search.dataone.org
    • knb.ecoinformatics.org
    Updated Nov 14, 2013
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    NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination; National Center for Ecological Analysis and Synthesis; Christina Kennedy (2013). Local farm management and landscape effects on native bee pollinators in agroecosystems [Dataset]. https://search.dataone.org/view/nceas.993.1
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    Dataset updated
    Nov 14, 2013
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    NCEAS 9381: Kremen: Restoring an ecosystem service to degraded landscapes: Native bees and crop pollination; National Center for Ecological Analysis and Synthesis; Christina Kennedy
    Time period covered
    Jan 1, 2000 - Jan 1, 2010
    Description

    We compiled studies on pollinator communities on multiple farm sites within an agricultural landscape that was characterized by a gradient in land use intensity and could be spatially characterized by a GIS land cover map. We identified 39 suitable studies on 23 crops in 14 countries on 6 continents based on knowledge of the authors and previous synthetic work. Twenty-six studies have been published in peer-reviewed journals, while 13 were unpublished datasets. Author(s) of each study provided 1) data on bee abundance or visitation, and bee richness for sampled farm sites, 2) spatial locations of sites, 3) GIS data on multi-class land cover surrounding each site, 4) estimates of floral resource quality and nesting quality for different bee guilds for land-cover classes depicted in GIS maps, and 5) local farm management practices (organic or conventional; high or low vegetative diversity). For each study, we applied a quantitative, mechanistic model to predict relative abundance of wild bees for each farm site based on foraging distances and landscape composition data that were coded to capture estimated differences in nesting and floral resources. We also calculated metrics of landscape configuration to characterize heterogeneity, aggregation, patch shape complexity, and inter-patch connectivity surrounding each farm site. We tested the relative importance of landscape composition, landscape configuration, and local farm management as predictors of observed wild bee abundance and richness. These datasets and analyses are used in: C.M. Kennedy, Eric Lonsdorf, Maile C. Neel, Neal M. Williams, Taylor H. Ricketts, Rachel Winfree, Riccardo Bommarco, Claire Brittain, Alana L. Burley, Daniel Cariveau, Luísa G. Carvalheiro, Natacha P. Chacoff, Saul A. Cunningham, Bryan N. Danforth, Jan-Hendrik Dudenhöffer, Elizabeth Elle, Hannah R. Gaines, Claudio Gratton, Sarah S. Greenleaf, Andrea Holzschuh, Rufus Isaacs, Steven K. Javorek, Shalene Jha, Alexandra M. Klein, Kristin Krewenka, Yael Mandelik, Margaret M. Mayfield, Lora Morandin, Lisa A. Neame, Mark Otieno, Mia Park, Simon G. Potts, Maj Rundlöf, Agustin Sáez, Ingolf Steffan-Dewenter, Hisatomo Taki, Julianna K. Tuell, Blandina Felipe Viana, Ruan Veldtman, Catrin Westphal, and Claire Kremen. A global quantitative synthesis of local and landscape effects on native bee pollinators in agroecosystems. In preparation, Ecology Letters.

  6. D

    Pollination Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Dataintelo (2025). Pollination Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/pollination-services-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Pollination Services Market Outlook




    According to our latest research, the global pollination services market size reached USD 2.58 billion in 2024, reflecting robust demand driven by the increasing reliance on pollinators to enhance crop yields and agricultural productivity. The market is expected to grow at a CAGR of 6.9% from 2025 to 2033, reaching a projected value of USD 5.12 billion by 2033. This impressive growth trajectory is primarily fueled by the rising awareness of the critical role pollinators play in food security, coupled with the expansion of commercial agriculture and horticulture sectors worldwide.




    The most significant growth factor for the pollination services market is the escalating global demand for food, fruits, vegetables, and other crops that require insect pollination. With the world’s population steadily increasing, agricultural producers are under immense pressure to maximize yields and ensure consistent crop quality. Pollination services have emerged as a vital solution, especially for high-value crops like fruits, nuts, and oilseeds that depend heavily on effective pollination. Furthermore, the decline in natural pollinator populations due to habitat loss, pesticide use, and climate change has made managed pollination services indispensable. Farmers and agribusinesses are increasingly turning to professional pollination providers to mitigate risks associated with poor pollination and to secure sustainable, high-quality harvests.




    Another key driver shaping the pollination services market is the rising adoption of sustainable agricultural practices and the growing emphasis on biodiversity. Governments, NGOs, and industry stakeholders are promoting pollinator-friendly farming methods, such as integrated pest management and the creation of pollinator habitats, to safeguard both wild and managed pollinator populations. These initiatives not only support environmental conservation but also enhance the long-term viability of agricultural production systems. As a result, demand for both managed and wild pollination services is on the rise, with market players investing in innovative solutions to improve pollinator health, efficiency, and coverage. The integration of technology, such as remote monitoring and data analytics, is further optimizing pollination outcomes and expanding the scope of services offered.




    The market is also benefitting from advancements in pollinator management and the diversification of pollinator species used in commercial applications. While honey bees remain the dominant pollinators, there is growing interest in alternative species such as bumble bees, solitary bees, and even butterflies, which offer unique advantages for specific crops and environments. This diversification is helping to reduce dependency on a single pollinator species and to address challenges posed by diseases and environmental stressors affecting honey bee populations. Additionally, the emergence of specialized pollination services tailored to horticulture, apiculture, and niche crops is opening new avenues for market growth and differentiation.




    Regionally, the pollination services market exhibits strong potential across Asia Pacific, North America, and Europe, with each region presenting distinct opportunities and challenges. Asia Pacific leads in terms of market size, supported by the vast agricultural base of countries like China and India, where pollination services are increasingly integrated into modern farming practices. North America and Europe are also significant markets, driven by advanced agricultural technologies, high-value crop production, and proactive regulatory support for pollinator health. Latin America and the Middle East & Africa are emerging regions, where growing awareness and investment in agriculture are expected to fuel future demand for pollination services.



    Service Type Analysis




    The pollination services market by service type is primarily segmented into managed pollination and wild pollination. Managed pollination, which involves the deliberate introduction of pollinators such as honey bees and bumble bees to agricultural fields, dominates the market due to its reliability and scalability. This service type is particularly prevalent in large-scale commercial farming operations, where consistent pollination is critical for maximizing yields and ensuring uniform crop quality. Managed pollination providers offer tail

  7. R

    Beekeeping_step2 Dataset

    • universe.roboflow.com
    zip
    Updated May 3, 2024
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    AI Clinic Beekeeping (2024). Beekeeping_step2 Dataset [Dataset]. https://universe.roboflow.com/ai-clinic-beekeeping/beekeeping_step2/dataset/2
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    zipAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    AI Clinic Beekeeping
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Pollen
    Description

    Here are a few use cases for this project:

    1. Pollen Monitoring and Analysis: Beekeepers, researchers, and agriculturists can use this model to monitor and analyze pollen collected by bees in various environments, making it easier to study the impact of pollen diversity on bee health, local plant life, and overall ecosystem health.

    2. Optimizing Honey Production: By tracking the types and amounts of pollen collected, beekeepers can identify the most productive plants for honeybees, enabling them to better manage their hives and plantings for improved honey production and hive health.

    3. Pollinator Habitat Assessment: Environmentalists and conservationists can use this model to evaluate the effectiveness of pollinator-friendly habitats by assessing the diversity and quality of pollen collected by bees in a specific area, informing better strategies for improving pollinator habitats.

    4. Pollen Allergen Detection: Healthcare professionals and researchers can use this model to study the presence of specific pollen types collected by bees in various regions, helping them better forecast and understand the effects of allergens on a population and develop preventive measures for allergy sufferers.

    5. Pollination Efficiency Study: Crop producers and agronomists can utilize this model to study the pollination efficiency of honeybees and other pollinators in different agricultural settings, which can inform better crop management practices and potentially lead to enhanced crop yields.

  8. G

    Controlled-Environment Pollination Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 29, 2025
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    Growth Market Reports (2025). Controlled-Environment Pollination Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/controlled-environment-pollination-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Controlled-Environment Pollination Market Outlook



    According to our latest research, the global controlled-environment pollination market size reached USD 1.28 billion in 2024, reflecting the sectorÂ’s rapid evolution and growing importance in modern agriculture. The market is expected to expand at a robust CAGR of 12.6% from 2025 to 2033, reaching a forecasted value of USD 3.77 billion by 2033. This impressive growth trajectory is primarily driven by the escalating demand for higher crop yields, the adoption of advanced agricultural technologies, and the necessity to ensure food security in the face of declining natural pollinator populations.



    Several factors are fueling the accelerated adoption of controlled-environment pollination systems globally. The increasing prevalence of climate variability, urbanization, and habitat loss has resulted in a significant decline in natural pollinators such as bees and butterflies. This has prompted commercial growers, research institutions, and vertical farms to invest in alternative pollination strategies within controlled environments. The integration of innovative technologies, including robotics and automation, has further enhanced the efficiency and scalability of these systems. Additionally, the rise in consumer demand for year-round availability of high-quality fruits, vegetables, and specialty crops is compelling producers to adopt controlled-environment agriculture (CEA), where precision pollination techniques play a pivotal role in optimizing yields and maintaining crop consistency.



    Another key growth driver is the surge in global investments toward sustainable and resilient agricultural practices. Governments and private sector stakeholders are increasingly supporting research and development in CEA and pollination technologies to mitigate the risks posed by environmental stressors and pollinator shortages. The adoption of vertical farming and greenhouse cultivation is witnessing a significant uptick, particularly in urban and peri-urban areas, where space constraints and resource optimization are critical. These controlled settings offer ideal conditions for deploying advanced pollination solutions, thereby reducing dependency on external pollinators and improving overall productivity. Moreover, the integration of data analytics, sensors, and artificial intelligence has enabled real-time monitoring and optimization of pollination processes, further driving market expansion.



    The controlled-environment pollination market is also benefiting from a growing awareness of the importance of pollination in ensuring food security and agricultural sustainability. Educational campaigns, industry collaborations, and government initiatives are fostering the adoption of pollination technologies across diverse geographies and crop types. The focus on producing high-value crops with superior quality attributes is motivating commercial growers and research organizations to invest in precise and reliable pollination methods. Furthermore, the emergence of new business models, such as pollination-as-a-service, is creating additional opportunities for market players to expand their offerings and reach. As a result, the market is poised for continued innovation and investment, with a strong emphasis on enhancing productivity, sustainability, and resilience in the global food supply chain.



    In addition to these advancements, the concept of Agrivoltaic Pollinator Habitat is gaining traction as a sustainable solution to support pollinator populations while optimizing land use. This innovative approach involves integrating solar panels with agricultural land, creating a dual-purpose environment that not only generates renewable energy but also provides a habitat for pollinators. By strategically planting pollinator-friendly vegetation beneath and around solar installations, agrivoltaic systems can enhance biodiversity and support the health of pollinator species. This synergy between renewable energy and agriculture presents an opportunity to address the challenges of pollinator decline and climate change simultaneously, making it an attractive option for forward-thinking agricultural practices.



    From a regional perspective, North America and Europe are currently leading the controlled-environment pollination market, accounting for a significant share of global revenues in 2024. These regions benefit from advanced agricultural infrastr

  9. Data from: A critical analysis of the potential for EU Common Agricultural...

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Jan 10, 2020
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    Lorna Cole; David Kleijn; Lynn Dicks; Jane Stout; Simon Potts; Matthias Albrecht; Mario Balzan; Ignasi Bartomeus; Penelope Bebeli; Danilo Bevk; Jacobus Biesmeijer; Róbert Chlebo; Anželika Dautartė; Nikolaos Emmanouil; Chris Hartfield; John Holland; Andrea Holzschuh; Nieke Knoben; Anikó Kovács-Hostyánszki; Yael Mandelik; Heleni Panou; Robert Paxton; Theodora Petanidou; Miguel Pinheiro de Carvalho; Maj Rundlöf; Jean-Pierre Sarthou; Menelaos Stavrinides; Maria Jose Suso; Hajnalka Szentgyörgyi; Bernard Vaissière; Androulla Varnava; Montserrat Vilà; Romualdas Zemeckis; Jeroen Scheper (2020). A critical analysis of the potential for EU Common Agricultural Policy measures to support wild pollinators on farmland [Dataset]. http://doi.org/10.5061/dryad.ht76hdrbn
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    zipAvailable download formats
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    Agroscopehttps://www.agroscope.admin.ch/agroscope/en/home.html
    Centre for Ecological Research
    Wageningen University & Research
    National Institute of Biology
    Scotland's Rural College
    Naturalis Biodiversity Center
    University of East Anglia
    Agricultural University of Athens
    Martin Luther University Halle-Wittenberg
    Vytautas Magnus University
    Malta College of Arts, Science and Technology
    Trinity College Dublin
    University of the Aegean
    Slovak University of Agriculture in Nitra
    Hebrew University of Jerusalem
    Université de Toulouse
    University of Reading
    Jagiellonian University
    Lund University
    Game & Wildlife Conservation Trust
    Wyższa Szkoła Technologii Informatycznych w Warszawie
    Universidade da Madeira
    Estación Biológica de Doñana
    Instituto de Agricultura Sostenible
    National Farmers Union
    University of Würzburg
    Institut National de la Recherche Agronomique
    Authors
    Lorna Cole; David Kleijn; Lynn Dicks; Jane Stout; Simon Potts; Matthias Albrecht; Mario Balzan; Ignasi Bartomeus; Penelope Bebeli; Danilo Bevk; Jacobus Biesmeijer; Róbert Chlebo; Anželika Dautartė; Nikolaos Emmanouil; Chris Hartfield; John Holland; Andrea Holzschuh; Nieke Knoben; Anikó Kovács-Hostyánszki; Yael Mandelik; Heleni Panou; Robert Paxton; Theodora Petanidou; Miguel Pinheiro de Carvalho; Maj Rundlöf; Jean-Pierre Sarthou; Menelaos Stavrinides; Maria Jose Suso; Hajnalka Szentgyörgyi; Bernard Vaissière; Androulla Varnava; Montserrat Vilà; Romualdas Zemeckis; Jeroen Scheper
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    European Union
    Description
    1. Agricultural intensification and associated loss of high-quality habitats are key drivers of insect pollinator declines. With the aim of decreasing the environmental impact of agriculture, the 2014 EU Common Agricultural Policy (CAP) defined a set of habitat and landscape features (Ecological Focus Areas: EFAs) farmers could select from as a requirement to receive basic farm payments. To inform the post-2020 CAP, we performed a European-scale evaluation to determine how different EFA options vary in their potential to support insect pollinators under standard and pollinator-friendly management, as well as the extent of farmer uptake.
      
      1. A structured Delphi elicitation process engaged 22 experts from 18 European countries to evaluate EFAs options. By considering life cycle requirements of key pollinating taxa (i.e. bumble bees, solitary bees and hoverflies), each option was evaluated for its potential to provide forage, bee nesting sites and hoverfly larval resources.
    2. EFA options varied substantially in the resources they were perceived to provide and their effectiveness varied geographically and temporally. For example, field margins provide relatively good forage throughout the season in Southern and Eastern Europe but lacked early-season forage in Northern and Western Europe. Under standard management, no single EFA option achieved high scores across resource categories and a scarcity of late season forage was perceived.
      
    3. Experts identified substantial opportunities to improve habitat quality by adopting pollinator-friendly management. Improving management alone was, however, unlikely to ensure that all pollinator resource requirements were met. Our analyses suggest that a combination of poor management, differences in the inherent pollinator habitat quality and uptake bias towards catch crops and nitrogen-fixing crops severely limit the potential of EFAs to support pollinators in European agricultural landscapes.
      
    4. Policy Implications. To conserve pollinators and help protect pollination services, our study highlights the need to create a variety of interconnected, well-managed habitats that complement each other in the resources they offer. To achieve this the CAP post-2020 should take a holistic view to implementation that integrates the different delivery vehicles aimed at protecting biodiversity (e.g. enhanced conditionality, eco-schemes and Agri-Environment and Climate Measures). To improve habitat quality we recommend an effective monitoring framework with target-orientated indicators and to facilitate the spatial targeting of options collaboration between land managers should be incentivised.
      
  10. D

    Mason Bee Pollination Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Mason Bee Pollination Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/mason-bee-pollination-services-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mason Bee Pollination Services Market Outlook



    According to our latest research, the global Mason Bee Pollination Services market size reached USD 505 million in 2024, reflecting a robust demand for sustainable and efficient pollination solutions across agriculture and horticulture sectors. The market is projected to grow at a CAGR of 8.6% during the forecast period, reaching USD 1,045 million by 2033. Growth in this market is primarily fueled by the rising awareness of pollinator diversity, the decline of honeybee populations, and the increasing adoption of alternative pollination strategies for enhanced crop productivity and environmental sustainability.




    One of the primary growth factors driving the Mason Bee Pollination Services market is the growing recognition of mason bees’ superior pollination efficiency in various agricultural contexts. Unlike honeybees, mason bees are solitary, non-aggressive, and capable of pollinating a wide spectrum of plants, including fruit orchards and vegetable crops. Their ability to work in cooler and wetter climates extends the pollination window, ensuring higher and more consistent yields. As commercial growers and orchard managers seek reliable alternatives amidst declining honeybee populations due to diseases, pesticides, and habitat loss, the demand for mason bee pollination services is accelerating. This trend is further amplified by research highlighting mason bees’ effectiveness in increasing fruit set and crop quality, making them a preferred choice in integrated pest and pollination management strategies.




    Sustainability initiatives and environmental regulations are also pivotal in propelling the Mason Bee Pollination Services market forward. With increasing governmental and non-governmental campaigns promoting biodiversity and the reduction of chemical pesticide use, growers are incentivized to adopt pollination methods that align with ecological stewardship. Mason bees, which require minimal maintenance and do not produce honey, are less susceptible to many of the diseases and pests affecting honeybee populations. Their use supports organic and sustainable farming practices, which are gaining traction globally. Additionally, educational outreach and extension services are raising awareness among farmers, commercial growers, and home gardeners about the benefits of integrating mason bees into their pollination programs, further boosting market penetration.




    Technological advancements and innovative business models are further catalyzing market growth. Companies specializing in mason bee pollination services are investing in research to optimize bee housing, breeding, and distribution methods. The proliferation of online platforms and direct-to-consumer sales channels is making it easier for end users to access mason bee cocoons and related services. Moreover, partnerships between agricultural cooperatives, research institutions, and pollination service providers are fostering knowledge transfer and best practices, leading to improved pollination outcomes and customer satisfaction. These developments are not only expanding the market’s reach but also enhancing the overall value proposition for diverse end-user segments.




    Regionally, North America is at the forefront of the Mason Bee Pollination Services market, accounting for the largest share in 2024 due to its advanced agricultural infrastructure, high awareness levels, and robust investment in sustainable farming practices. Europe follows closely, driven by stringent environmental regulations and a strong focus on biodiversity. The Asia Pacific region is emerging as a key growth area, supported by rapid urbanization, expanding horticulture industries, and increasing government support for pollinator-friendly initiatives. Latin America and the Middle East & Africa are also witnessing gradual market development, primarily in export-oriented fruit and vegetable production sectors. Regional differences in crop types, climate, and regulatory frameworks continue to shape the adoption patterns and market dynamics across the globe.



    Service Type Analysis



    The service type segment in the Mason Bee Pollination Services market is broadly categorized into Commercial Pollination, Residential Pollination, Agricultural Pollination, and Others. Commercial Pollination represents the largest share, driven by the increasing need for reliable and cost-effective pollination solutions in large-scale fruit orchards, berry farms

  11. G

    Drone-Assisted Crop Pollinator Release Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 29, 2025
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    Growth Market Reports (2025). Drone-Assisted Crop Pollinator Release Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/drone-assisted-crop-pollinator-release-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Drone-Assisted Crop Pollinator Release Market Outlook




    According to our latest research, the global market size for Drone-Assisted Crop Pollinator Release reached USD 412 million in 2024, with a robust CAGR of 18.7% expected between 2025 and 2033. By the end of 2033, the market is projected to achieve a value of USD 1,876 million. The rapid expansion of this market is fueled by the increasing need for efficient and sustainable pollination solutions in agriculture, especially in the context of declining natural pollinator populations and the rising demand for higher crop yields. As per our comprehensive industry analysis, technological advancements in drone capabilities and the integration of artificial intelligence are further accelerating the adoption of drone-assisted pollinator release systems worldwide.




    The primary growth factor driving the Drone-Assisted Crop Pollinator Release Market is the alarming decline in natural pollinator populations, such as bees and butterflies, due to habitat loss, pesticide use, and climate change. This ecological crisis has led farmers and agricultural enterprises to seek alternative pollination methods to ensure crop productivity and food security. The introduction of drone technology has revolutionized traditional pollination practices by enabling targeted, efficient, and scalable pollinator release across large farming areas. Drones equipped with precise release mechanisms can distribute pollinators evenly, maximizing pollination efficiency and reducing labor costs. Additionally, the ability to monitor and control pollinator release remotely allows for real-time adjustments based on crop needs and environmental conditions, further enhancing the effectiveness of this innovative approach.




    Another significant driver for the market is the growing adoption of precision agriculture and smart farming techniques. Farmers are increasingly leveraging data-driven insights to optimize every aspect of crop management, including pollination. Drone-assisted pollinator release seamlessly integrates with existing farm management systems, providing actionable data on pollinator distribution, crop health, and flowering stages. This integration empowers farmers to make informed decisions, resulting in improved crop yields and resource utilization. Moreover, the scalability of drone solutions allows for their deployment across diverse farm sizes and crop types, making them accessible to both smallholder and large-scale commercial farms. As governments and agricultural organizations promote sustainable farming practices, the demand for advanced pollination technologies is expected to rise steadily.




    Technological advancements in drone design and pollinator handling are also contributing to market growth. Modern drones are equipped with advanced flight control systems, GPS navigation, and AI-powered sensors that enable precise and autonomous operations. These features ensure that pollinators are released at optimal times and locations, minimizing wastage and maximizing pollination rates. Furthermore, research and development efforts are focused on improving the survivability and effectiveness of released pollinators, including artificial pollinators and genetically enhanced insects. The collaboration between agricultural technology companies, research institutes, and government agencies is fostering innovation and accelerating the commercialization of drone-assisted pollinator release systems.



    Drone-Based Crop Pollination is emerging as a transformative approach in modern agriculture, offering a sustainable solution to the challenges posed by declining natural pollinator populations. By utilizing drones to facilitate the pollination process, farmers can ensure that crops receive the necessary pollination at the right time, leading to improved yields and quality. This method not only addresses the inefficiencies of traditional pollination techniques but also reduces the dependency on manual labor, which can be both costly and inconsistent. The precision and control offered by drones allow for targeted pollination, which is particularly beneficial for high-value crops and those grown in challenging environments. As technology continues to advance, the integration of AI and machine learning with drone systems is expected to further enhance the effectiveness of drone-based pollination, making it a vital component of future agric

  12. D

    Precision Pollination Services Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Precision Pollination Services Market Research Report 2033 [Dataset]. https://dataintelo.com/report/precision-pollination-services-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Precision Pollination Services Market Outlook



    According to our latest research, the global precision pollination services market size reached USD 770 million in 2024, reflecting robust momentum driven by the increasing adoption of advanced pollination techniques in commercial agriculture. The market demonstrated a strong compound annual growth rate (CAGR) of 12.7% from 2024 to 2033. By 2033, the market is forecasted to reach USD 2.27 billion, propelled by rising demand for higher crop yields, sustainability concerns, and technological advancements in pollination monitoring and management solutions. This growth trajectory is underpinned by the convergence of agri-tech innovation, environmental awareness, and the need to mitigate pollinator population decline.




    A primary growth factor for the precision pollination services market is the escalating global food demand, which necessitates increased agricultural productivity and efficiency. Traditional pollination methods are often unreliable due to declining natural pollinator populations and unpredictable weather patterns. Precision pollination services offer targeted, data-driven solutions that optimize pollination timing and effectiveness, directly enhancing crop yield and quality. These services, utilizing advanced monitoring tools and managed pollinator deployment, ensure that critical crops such as fruits, vegetables, and oilseeds receive optimal pollination, addressing both yield gaps and quality inconsistencies. The integration of technologies such as IoT sensors, AI-driven analytics, and remote monitoring has further solidified the value proposition of precision pollination, making it an indispensable tool in modern agriculture.




    Another significant driver is the increasing awareness and regulatory emphasis on sustainable agricultural practices. Governments and international organizations are actively promoting pollinator-friendly initiatives, recognizing the essential role of pollinators in ecosystem health and food security. Precision pollination services align with these sustainability goals by minimizing the overuse of chemical inputs and reducing the environmental footprint of farming. Additionally, the market is benefiting from strategic collaborations between agri-tech firms, research institutes, and farming cooperatives, which accelerate the development and adoption of innovative pollination solutions. As farmers and agribusinesses increasingly prioritize sustainable yield improvement, the adoption of precision pollination services is expected to surge across both developed and emerging economies.




    Technological advancements and digital transformation in agriculture are also catalyzing the expansion of the precision pollination services market. The integration of big data analytics, cloud-based platforms, and real-time pollination monitoring systems enables more precise and efficient pollination management. These innovations facilitate predictive modeling, allowing farmers to anticipate pollination needs and optimize resource allocation. Furthermore, the rise of indoor farming, greenhouses, and controlled environment agriculture presents new opportunities for precision pollination services, as these settings demand highly controlled and efficient pollination processes. Companies offering tailored pollination advisory and monitoring solutions are witnessing increased demand, particularly in regions with high-value crop production and limited access to natural pollinators.




    Regionally, North America and Europe currently dominate the precision pollination services market due to their advanced agricultural infrastructure and strong emphasis on research and innovation. However, Asia Pacific is poised for the fastest growth, driven by expanding commercial agriculture, government initiatives, and increasing investment in agri-tech. Latin America and the Middle East & Africa are also emerging as promising markets, supported by growing awareness of pollinator decline and the need for sustainable agricultural practices. The regional landscape is characterized by varying adoption rates, influenced by factors such as crop diversity, technological readiness, and local regulatory frameworks. As market players continue to expand their footprint and tailor offerings to regional needs, the global market is expected to witness sustained and geographically diversified growth.



    Service Type Analysis



    The service type segment in the precision polli

  13. D

    Precision Bee Pollination-as-a-Service Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Precision Bee Pollination-as-a-Service Market Research Report 2033 [Dataset]. https://dataintelo.com/report/precision-bee-pollination-as-a-service-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Precision Bee Pollination-as-a-Service Market Outlook



    According to our latest research, the global market size for Precision Bee Pollination-as-a-Service reached USD 610 million in 2024, with a robust CAGR of 13.7% projected through the forecast period. By 2033, the market is expected to attain a value of USD 1.82 billion, driven by a convergence of technological advances, increasing demand for sustainable agriculture, and the critical need to address declining pollinator populations. The market's upward trajectory is primarily attributed to the growing adoption of data-driven pollination solutions and the rising emphasis on crop yield optimization.



    A significant growth factor for the Precision Bee Pollination-as-a-Service market is the rapid decline in natural pollinator populations, particularly honey bees, due to factors such as habitat loss, pesticide exposure, and climate change. As agricultural productivity is highly dependent on effective pollination, especially for high-value crops, stakeholders are increasingly turning to managed pollination services to ensure consistent and reliable crop yields. The integration of technology, such as IoT-enabled monitoring and advanced data analytics, further enhances the efficiency and precision of pollination activities, making these services indispensable for modern agriculture. As a result, the market is witnessing increased investments from both public and private sectors, aiming to bridge the pollination gap and secure food production systems.



    Another pivotal driver is the surge in global food demand, propelled by population growth and changing dietary preferences towards fruits, vegetables, and nuts, which are heavily reliant on insect pollination. Precision bee pollination services offer a scalable and sustainable solution for large-scale agricultural operations, horticulture, and greenhouse crops, enabling growers to optimize pollination timing and density for maximum yield and quality. The rise of agribusinesses seeking to integrate digital agriculture solutions, coupled with supportive government policies promoting sustainable farming, is further accelerating market growth. Additionally, the increasing awareness among farmers about the economic benefits of managed pollination—such as improved crop uniformity and reduced dependency on manual labor—continues to fuel market expansion.



    Technological innovation remains at the core of the market’s growth, with advancements in sensor technologies, AI-powered analytics, and cloud-based platforms transforming the way pollination services are delivered and monitored. Companies are leveraging these tools to provide real-time insights into bee health, pollination rates, and environmental conditions, allowing for data-driven decision-making and proactive management. Partnerships between agri-tech startups, research institutes, and traditional beekeeping enterprises are fostering the development of integrated service offerings that cater to diverse crop types and farming environments. As the market matures, the focus is shifting towards enhancing service scalability, interoperability, and user-friendliness, ensuring that precision bee pollination becomes accessible to both large-scale agribusinesses and smallholder farmers.



    Regionally, North America continues to dominate the Precision Bee Pollination-as-a-Service market, owing to its large-scale commercial agriculture, high adoption of agri-tech solutions, and strong research ecosystem. Europe follows closely, driven by stringent sustainability mandates and a well-established horticulture industry. The Asia Pacific region is emerging as a high-growth market, fueled by rapid agricultural modernization, increasing awareness about pollinator decline, and government initiatives to boost crop productivity. Latin America and the Middle East & Africa are also witnessing gradual adoption, particularly in export-oriented agriculture and greenhouse farming. Overall, the regional landscape is characterized by varying levels of technological adoption, regulatory frameworks, and crop diversification, shaping the market’s evolution across geographies.



    Service Type Analysis



    The Service Type segment in the Precision Bee Pollination-as-a-Service market encompasses Managed Pollination Services, Pollination Monitoring, Data Analytics, and other specialized offerings. Managed Pollination Services represent the backbone of the market, providing end-to-end solutions that include the deployment, maintenance, and management of bee colonie

  14. f

    Pollination and Plant Resources Change the Nutritional Quality of Almonds...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 30, 2023
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    Claire Brittain; Claire Kremen; Andrea Garber; Alexandra-Maria Klein (2023). Pollination and Plant Resources Change the Nutritional Quality of Almonds for Human Health [Dataset]. http://doi.org/10.1371/journal.pone.0090082
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Claire Brittain; Claire Kremen; Andrea Garber; Alexandra-Maria Klein
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Insect-pollinated crops provide important nutrients for human health. Pollination, water and nutrients available to crops can influence yield, but it is not known if the nutritional value of the crop is also influenced. Almonds are an important source of critical nutrients for human health such as unsaturated fat and vitamin E. We manipulated the pollination of almond trees and the resources available to the trees, to investigate the impact on the nutritional composition of the crop. The pollination treatments were: (a) exclusion of pollinators to initiate self-pollination and (b) hand cross-pollination; the plant resource treatments were: (c) reduced water and (d) no fertilizer. In an orchard in northern California, trees were exposed to a single treatment or a combination of two (one pollination and one resource). Both the fat and vitamin E composition of the nuts were highly influenced by pollination. Lower proportions of oleic to linoleic acid, which are less desirable from both a health and commercial perspective, were produced by the self-pollinated trees. However, higher levels of vitamin E were found in the self-pollinated nuts. In some cases, combined changes in pollination and plant resources sharpened the pollination effects, even when plant resources were not influencing the nutrients as an individual treatment. This study highlights the importance of insects as providers of cross-pollination for fruit quality that can affect human health, and, for the first time, shows that other environmental factors can sharpen the effect of pollination. This contributes to an emerging field of research investigating the complexity of interactions of ecosystem services affecting the nutritional value and commercial quality of crops.

  15. d

    Data from: Honeybees interfere with wild bees in apple pollination in China

    • datadryad.org
    • data.niaid.nih.gov
    zip
    Updated Feb 5, 2025
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    Jingwei Li; Aruhan Olhnuud; Teja Tscharntke; Meina Wang; Panlong Wu; Huanli Xu; Yunhui Liu (2025). Honeybees interfere with wild bees in apple pollination in China [Dataset]. http://doi.org/10.5061/dryad.mpg4f4r9n
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    zipAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Dryad
    Authors
    Jingwei Li; Aruhan Olhnuud; Teja Tscharntke; Meina Wang; Panlong Wu; Huanli Xu; Yunhui Liu
    Time period covered
    Jan 20, 2025
    Description

    Honeybees interfere with wild bees in apple pollination in China

    https://doi.org/10.5061/dryad.mpg4f4r9n

    Description of the data and file structure

    Files and variables

    File: bee_diversity_and_pollination_data.csv

    Description:

    Variables
    • region: apple production area in China
    • Site code: expeimental apple orchard code
    • ADwild: the activity density of wild bee (individual/day/orchard (9 traps))
    • Chaowild: the Chao-1 value of wild bee (Dimensionless)
    • ADhoney:the activity density of honeybee (individual/day/orchard (9 traps))
    • ADoverall: the activity density of overall bee (individual/day/orchard (9 traps))
    • PCFset1:pollination contribution values for apple fruit set (%)
    • PCWeight1:pollination contribution values for apple weight (g)
    • PCseed1:pollination contribution values for apple seed (number of seeds)
    • Open pollination fruitset: apple fruitset in open pollination (%)
    • Open pollination weigh...
  16. P

    Pollination Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 24, 2025
    + more versions
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    Data Insights Market (2025). Pollination Service Report [Dataset]. https://www.datainsightsmarket.com/reports/pollination-service-288663
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global pollination services market is experiencing robust growth, driven by the increasing demand for high-quality agricultural produce and the growing awareness of the crucial role pollinators play in food security. The market, estimated at $2 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 7% between 2025 and 2033, reaching an estimated $3.5 billion by 2033. This growth is fueled by several key factors, including the rising adoption of sustainable agricultural practices, the increasing prevalence of monoculture farming (which necessitates pollination services), and the escalating concerns about declining bee populations and the resulting impact on crop yields. Key players like Koppert, Biobest Group, and BioBee are driving innovation in pollination technology, offering a range of services including beehive rentals, bumble bee colonies, and other supplementary pollination solutions. Government initiatives promoting sustainable agriculture and biodiversity conservation further contribute to market expansion. However, market growth faces certain challenges. Fluctuating weather patterns, the spread of pests and diseases affecting pollinator health, and the high initial investment costs associated with implementing pollination services can act as restraints. The market is segmented by service type (e.g., beehive rental, bumble bee colonies, other pollination solutions), crop type (e.g., fruits, vegetables, nuts), and geographical region. North America and Europe currently hold significant market shares, but the Asia-Pacific region is expected to emerge as a key growth area driven by rising agricultural production and increasing adoption of advanced agricultural techniques. The continued development and adoption of innovative pollination technologies, coupled with effective strategies to mitigate the challenges, will be crucial in ensuring the sustained growth of this vital market sector.

  17. G

    Precision Pollination Management Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Precision Pollination Management Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/precision-pollination-management-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Precision Pollination Management Market Outlook



    According to our latest research, the global Precision Pollination Management market size reached USD 1.42 billion in 2024, reflecting the sector’s robust expansion in recent years. The market is projected to grow at a remarkable CAGR of 13.6% from 2025 to 2033, propelling the industry to an estimated USD 4.31 billion by 2033. This impressive growth trajectory is primarily driven by the escalating demand for sustainable agriculture, technological advancements in pollination methods, and the critical need to enhance crop yields amid global food security challenges. As per our latest research, the integration of digital technologies and biological sciences is revolutionizing pollination practices, making precision pollination management a cornerstone of modern agribusiness.




    A key growth factor for the Precision Pollination Management market is the increasing global emphasis on food security and sustainable farming practices. With the world population projected to surpass 9 billion by 2050, agricultural productivity must rise significantly without further straining natural resources. Precision pollination technologies, leveraging hardware such as sensors and drones, as well as advanced software solutions, are enabling growers to optimize pollination processes for higher yields and better crop quality. These innovations not only reduce reliance on traditional pollinators—whose populations are under threat due to environmental changes—but also ensure more consistent and reliable pollination outcomes across diverse agricultural landscapes. This shift is further fueled by growing awareness among farmers and agribusinesses about the economic and environmental benefits of precision pollination management.




    Technological advancements play a pivotal role in the rapid evolution of the Precision Pollination Management market. The integration of artificial intelligence (AI), the Internet of Things (IoT), and data analytics has transformed pollination from a passive to a highly controlled and optimized process. For instance, AI-powered drones and automated pollination tools can monitor flower bloom stages, environmental conditions, and pollinator activity in real-time, allowing for precise deployment of pollination resources. Furthermore, software platforms now offer predictive analytics and actionable insights, enabling growers to make informed decisions that enhance productivity and reduce operational costs. These innovations are particularly beneficial for high-value crops in controlled environments such as greenhouses and orchards, where maximizing pollination efficiency directly translates into improved profitability and sustainability.




    Another significant driver for market growth is the increasing collaboration between commercial growers, research institutes, and technology providers. These partnerships are fostering the development and adoption of innovative pollination management solutions tailored to specific crop types and regional requirements. Research institutes are playing a critical role in validating new technologies and pollination methods, ensuring their efficacy and safety for both crops and the environment. Meanwhile, commercial growers are increasingly investing in precision pollination solutions to stay competitive in a rapidly evolving agricultural landscape. This collaborative ecosystem is accelerating the diffusion of cutting-edge pollination technologies, further expanding the market’s reach and impact.




    Regionally, North America and Europe are at the forefront of precision pollination management adoption, driven by advanced agricultural infrastructure, significant investment in agri-tech, and strong regulatory support for sustainable farming practices. The Asia Pacific region, however, is rapidly emerging as a lucrative market, fueled by rising food demand, government initiatives promoting smart agriculture, and a growing base of technologically savvy farmers. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as awareness of the benefits of precision pollination management continues to spread. Overall, the global market is characterized by dynamic growth, robust innovation, and increasing cross-regional collaboration, setting the stage for continued expansion through 2033.



  18. G

    Precision Bee Pollination-as-a-Service Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Precision Bee Pollination-as-a-Service Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/precision-bee-pollination-as-a-service-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Precision Bee Pollination-as-a-Service Market Outlook



    According to our latest research, the global Precision Bee Pollination-as-a-Service market size reached USD 1.23 billion in 2024, driven by increasing awareness of the critical role pollinators play in agricultural productivity and food security. The market is projected to grow at a robust CAGR of 14.1% from 2025 to 2033, reaching an estimated USD 3.85 billion by the end of the forecast period. This impressive growth trajectory is propelled by technological advancements in managed pollination, data analytics integration, and escalating demand for sustainable agricultural practices worldwide.




    One of the primary growth factors for the Precision Bee Pollination-as-a-Service market is the rising global concern over declining natural pollinator populations, particularly honey bees. The increasing frequency of colony collapse disorder, habitat loss, pesticide exposure, and climate change have collectively led to a significant reduction in wild pollinator numbers. This has created an urgent need for managed pollination services that can ensure crop yields and food security are not compromised. In response, farmers and agribusinesses are increasingly turning to precision pollination solutions that leverage technology to optimize pollinator deployment, monitor pollination effectiveness, and minimize ecological disruptions. These services not only help offset pollinator shortages but also enhance crop quality and yield, further driving market adoption.




    Another major driver fueling market expansion is the integration of advanced data analytics and IoT technologies into pollination services. The emergence of smart beehives, remote monitoring systems, and AI-powered data analytics has revolutionized the way pollination is managed and measured. Service providers can now offer real-time insights into bee activity, pollination rates, and environmental conditions, enabling data-driven decision-making for farmers and agribusinesses. This technological leap has significantly improved the efficiency and transparency of pollination services, making them more attractive to large-scale agricultural operations and research institutions. Furthermore, the availability of precision pollination-as-a-service models allows stakeholders to access these advanced capabilities without the need for significant capital investment in equipment or expertise, thereby broadening the market’s reach.




    Additionally, the growing emphasis on sustainable and environmentally friendly agricultural practices is contributing to the rapid adoption of precision bee pollination services. As regulatory pressures and consumer demand for sustainable food production intensify, stakeholders across the agricultural value chain are seeking solutions that reduce chemical inputs, enhance biodiversity, and minimize ecological impact. Precision bee pollination services align perfectly with these objectives by promoting natural pollination processes, reducing reliance on synthetic pollinators or manual pollination, and supporting ecosystem health. This alignment with sustainability goals is not only accelerating market growth but also positioning precision pollination as a vital component of future-ready agricultural systems.




    Regionally, North America and Europe are leading the adoption of precision bee pollination-as-a-service, owing to their advanced agricultural sectors, high awareness of pollinator health issues, and supportive regulatory frameworks. However, the Asia Pacific region is emerging as a significant growth engine, fueled by rapid agricultural modernization, expanding horticulture and greenhouse sectors, and increasing investments in agritech innovation. Latin America and the Middle East & Africa, while currently smaller markets, are expected to witness accelerated growth as awareness spreads and local agricultural sectors seek to enhance productivity and sustainability through precision pollination solutions.





    Service Type Analysis



    The Service Type segment of the Precis

  19. E

    Pollinators in oilseed rape fields in relation to local plant diversity and...

    • catalogue.ceh.ac.uk
    • data-search.nerc.ac.uk
    • +1more
    text/directory
    Updated Jul 5, 2018
    + more versions
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    R. F. Shaw; B.B. Phillips; T. Doyle; J.K. Pell; J.W. Redhead; J. Savage; B.A. Woodcock; J.M. Bullock; Juliet L. Osborne (2018). Pollinators in oilseed rape fields in relation to local plant diversity and landscape characteristics [Dataset]. http://doi.org/10.5285/6128a4f7-d2ac-43c5-b492-af4c654e89b8
    Explore at:
    text/directoryAvailable download formats
    Dataset updated
    Jul 5, 2018
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    R. F. Shaw; B.B. Phillips; T. Doyle; J.K. Pell; J.W. Redhead; J. Savage; B.A. Woodcock; J.M. Bullock; Juliet L. Osborne
    Time period covered
    Mar 31, 2014 - Aug 31, 2015
    Area covered
    Dataset funded by
    Natural Environment Research Councilhttps://www.ukri.org/councils/nerc
    Description

    The number and type of pollinators in winter-sown oilseed rape fields (Brassica napus L.) in relation to local plant diversity (in crop and field margin) and landscape characteristics. Pollinators were collected using two methods (pan traps and transects). Local plant diversity was assessed using quadrats in field margins and in cropped area. The presence of hedges was also recorded. Landscape characteristics included the presence of patches of grassland of different biodiversity levels and the amount of grasslands and other semi natural habitat within a 0.5 - 3km radius circular buffer of the collection points. Data were collected over two years (2014-2015). These data were collected as part of Wessex BESS project, funded by the NERC Biodiversity and Ecosystem Service Sustainability research program. This dataset can be used in conjunction with other Wessex BESS WP4 datasets.

  20. f

    Research data for The effects of diet enhancement on the health of...

    • sussex.figshare.com
    xlsx
    Updated Jan 20, 2025
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    Rosaline Hulse; Annette Van Oystaeyen; Joanne Carnell; Danielle Beckett; William Grey; Dave Goulson; Felix L Wackers; William Hughes (2025). Research data for The effects of diet enhancement on the health of commercial bumblebee colonies [Dataset]. http://doi.org/10.25377/sussex.25459306.v2
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    xlsxAvailable download formats
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    University of Sussex
    Authors
    Rosaline Hulse; Annette Van Oystaeyen; Joanne Carnell; Danielle Beckett; William Grey; Dave Goulson; Felix L Wackers; William Hughes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Research data for Hulse et al. 2025. 'The effects of diet enhancement on the health of commercial bumblebee colonies'. Apidologie.Data consist of colony health measures for 30 bumblebee colonies and individual health measures for 332 bumblebees from the 30 colonies. Note that not all individual health measures were recorded for all bees. Empty cells indicate cases where the individual health measure was not recorded for that bee.AbstractCommercially reared bees provide economically important pollination services for a diversity of crops. Improving their health is important both to maximise their pollination services and to avoid possible pathogen spillover or spillback with wild pollinators. Diet quality may directly or indirectly affect diverse aspects of bumblebee health, including colony development, individual size and immune health, but the impact of this remains unclear. Here we investigate experimentally the effect of diet quality during bumblebee colony development using three diets: 1) a standard pollen diet used in commercial rearing of colonies for sale, 2) an enhanced diet comprised of a wildflower pollen mix that was expected to be nutritionally superior (including by having an elevated protein content), and 3) a diet of pollen substitute mixed with the standard diet that was expected to be nutritionally poorer. The effect of diet quality on colony health was quantified using colony-level measures (colony weight, size [number of live workers] and number of dead individuals), and individual-level measures (body size, fatbody size [proportion of body weight], total haemocyte count and phenoloxidase immune enzyme activity). Diet quality significantly affected colony growth, with colonies fed the enhanced diet growing larger and producing more reproductive than those fed either a standard or poor diet. The enhanced diet also resulted in bees that were significantly larger and had better immune health. The results show that diet can have important effects on the health of commercially reared bumblebees and suggest that the enhancement of standard rearing diets may improve colony health.

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Elsa Blareau; Fabrice Requier (2024). Data from : Insect-mediated pollination improves fruit quality of strawberries in an urban environment [Dataset]. http://doi.org/10.6084/m9.figshare.24187542.v1
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Data from : Insect-mediated pollination improves fruit quality of strawberries in an urban environment

Related Article
Explore at:
txtAvailable download formats
Dataset updated
Mar 23, 2024
Dataset provided by
Figsharehttp://figshare.com/
Authors
Elsa Blareau; Fabrice Requier
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset result from an experiment in an urban area near Paris (France) to test whether pollinators present in an urban environment contributed to the production of strawberries (Fragaria × ananassa). We performed flower-visitor observations and pollination experiments on strawberries, Fragaria × ananassa, in an urban area near Paris, France, in order to assess the effects of (i) insect-mediated pollination service and (ii) potential pollination deficit on fruit set, seed set, and fruit quality (size, weight and malformation). Flower-visitor observations revealed that the pollinator community was solely comprised of unmanaged pollinators, despite the presence of apiaries in the surrounding landscape. Based on the pollination experiments, we found that the pollination service mediated by wild insects improved fruit size as a qualitative value of production, but not fruit set. We also found no evidence for pollination deficit in our urban environment. These results suggest that the local community of wild urban pollinators is able to support strawberry crop production, and thus plays an important role in providing high quality, local and sustainable crops in urban areas. The data are related to the scientific paper "Blareau, E., Sy, P., Daoud, K., Requier, F. (under review) Economic costs of the invasive Yellow-legged hornet on honey bees. Insects".Three datasets are available:(1) Flower visitor observations were performed during the whole flowering period, from the 20th of April to the 27th of May 2021 (24 observation days). Flower visitor observations consisted of a 10 minutes observation sessions carried out between 9am and 6pm. We favoured days with temperatures above 12°C, with little cloud cover and no wind although some observation sessions were carried out on cloudy days since several occurred during the flowering period. Each flower was observed several times (i.e. several 10 minute observation sessions per flower) but never on the same day. Subsequent observations of a same flower were carried out at a later date at different times of day, in order to maximise our chances of seeing a diversity of pollinators, since different pollinators are active at different times of day [5,55]. Over the flowering period, we carried out 30 h and 10 min of flower observations (181 time replicates of 10-minute observations) on a total of 88 flowers (each observed on average 2.9 ± 1.1 times). We observed an average of 10.7 ± 7.4 flowers per day. An average of 4.4 ± 2.3 flowers were observed per location. Each flower visitor was counted and identified within the following 8 categories: honey bee (Apis mellifera), bumble bee (Bombus sp.), solitary bee, hoverfly (Syrphidae), other fly (Diptera), ant (Formicidae), thrips (Thysanoptera) or other insect.Data are available as a csv file titled " Flower.visitors.csv” with the following metadata:# METADATA# 'data.frame': 257 obs. of 11 variables:# $ FlowerID : Factor variable ; identity of the flower# $ Honey bee : Numeric variable; number of honey bees observed# $ Bumble bee : Numeric variable; number of bumble bees observed# $ Solitary bee: Numeric variable; number of solitary bees observed# $ Hoverfly : Numeric variable; number of hoverflies observed# $ Other fly : Numeric variable; number of other flies observed# $ Ant : Numeric variable; number of ants observed# $ Beetle : Numeric variable; number of beetles observed# $ Spider : Numeric variable; number of spiders observed# $ Thrip : Numeric variable; number of thrips observed# $ Other insect: Numeric variable; number of other insects observed(2) We performed pollination treatments at each location during the same time period as pollinator observations, to assess pollination services provided by the urban pollinator community. The four treatments are as follows: (i) flowers open to pollinator visits, (ii) flowers open to pollinator visits and cross pollinated by hand, (iii) flowers excluded from pollinator visits (self or wind pollination only), and (iv) flowers cross-pollinated by hand and excluded from pollinator visits. Comparing self/wind and hand pollination measures pollinator dependence. Comparing self/wind and open pollination measures pollination service, i.e. the contribution of insect pollinators to crop production. Comparing open and hand pollination measures pollination deficit, i.e. whether pollinators are able to saturate the flower in pollen, thus allowing it to produce fruit at its highest potential. Comparing open pollination with and without hand pollination indicates whether insect pollination alone is sufficient to maximise fruit yield. The comparison of hand pollination and open pollination with hand pollination indicates whether hand pollination only is enough to maximise fruit production, or weather an input from pollinators is necessary. Plants from the self/wind pollination treatment and the hand pollination treatment were bagged with mesh netting (Alt’Droso Maraichage, 0.8 × 0.8 mm mesh) to prevent pollinators from visiting these flowers. For treatments that required hand pollination, pollen was collected from the study plants. We visited each flower twice within the same day with a paintbrush to ensure flowers of the same treatment received pollen from several other plants. In total, 172 flowers were considered for the pollination experiment, 46 flowers were affected to the open pollination treatment (2.3 ± 1.2 per location), 28 to the hand and open pollination treatment (1.4 ± 0.9 per location), 63 to the self/wind pollination treatment (3.2 ± 1.5 per location), and 35 to the hand pollination treatment (1.8 ± 1.3 per location). Once flowering was over, we measured fruit set by recording whether each flower from each pollination treatment successfully produced fruit or not.Data are available as a csv file titled "Fruit.set.csv” with the following metadata:# METADATA# 'data.frame': 172 obs. of 3 variables:# $ Location : Factor variable ; identity of the location of the plant# $ Treatment: Factor variable ; identity of the pollination treatment with: O for flowers open to pollinator visits; O+H for flowers open to pollinator visits and cross pollinated by hand; E for flowers excluded from pollinator visits (self or wind pollination only), and E+H for flowers cross-pollinated by hand and excluded from pollinator visits# $ Fruit set: Numeric variable; fruit set with O for failure (no fruit) and 1 for success (fruit formed)(3) Fruits were then harvested once they were fully formed (i.e. as soon as fruits had fully reddened), between the 31st of May and the 10th of June 2021. We recorded fruit malformation, by considering a fruit with a clear aggregation of unfertilised achenes as showing a malformation (Fig. S3). We measured fruit weight (Ohaus, Adventurer, precision 0.01 g, capacity 3100 g) and fruit size as the maximum width at the widest point (France métrologie, accuracy 1 mm, capacity 1600 mm) within one day of harvesting. We chose width as the measure for fruit size since it is used to determine the commercial class of fruits [46]. Seed set was then counted once all fruits had been cropped. For maximum precision, strawberry flesh was separated from the seeds before counting, using a small meshed sieve which collected only the seeds.Data are available as a csv file titled "Fruit.quality.csv” with the following metadata:# METADATA# 'data.frame': 125 obs. of 6 variables:# $ Location : Factor variable ; identity of the location of the plant# $ Treatment : Factor variable ; identity of the pollination treatment with: O for flowers open to pollinator visits; O+H for flowers open to pollinator visits and cross pollinated by hand; E for flowers excluded from pollinator visits (self or wind pollination only), and E+H for flowers cross-pollinated by hand and excluded from pollinator visits# $ Fruit malformation: Numeric variable; fruit malformation with O for the absence of malformation and 1 for the presence of malformation# $ Fruit size : Numeric variable; size of the fruit (in cm)# $ Fruit weight : Numeric variable; weight of the fruit (in g)# $ Seed number : Numeric variable; number of seeds

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