GIS Software In Agriculture Market Outlook

The global GIS software in agriculture market size was valued at approximately USD 1.5 billion in 2023 and is projected to grow to USD 3.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period. The exponential growth in this market is primarily driven by the increasing adoption of precision farming techniques and the growing need for resource optimization in agriculture. The integration of GIS software into agricultural practices enables enhanced decision-making capabilities, significantly boosting productivity and efficiency.

One of the primary growth factors for the GIS software in agriculture market is the rising global population, which intensifies the demand for food production. With limited arable land available, farmers and agribusinesses are turning to advanced technologies like GIS software to maximize crop yields, optimize resource use, and ensure sustainable farming practices. GIS software facilitates detailed spatial analysis and mapping, allowing for better management of land resources, monitoring of crop health, and precision in irrigation practices. These capabilities are crucial to meeting the increasing food demands while maintaining ecological balance.

Another significant growth driver is the increasing awareness and implementation of precision farming techniques. Precision farming relies heavily on data collection and analysis, which can be efficiently managed through GIS software. By integrating various types of data such as soil properties, weather conditions, and crop performance, GIS software enables farmers to make data-driven decisions that can improve crop yields and reduce waste. This technology also supports variable rate application of inputs like fertilizers and pesticides, leading to cost savings and minimized environmental impact.

Government initiatives and subsidies promoting the use of advanced agricultural technologies are also contributing to the market's growth. Many governments worldwide are recognizing the potential of GIS software in improving agricultural productivity and are providing financial support to farmers and agribusinesses for the adoption of these technologies. These initiatives are particularly significant in developing regions where traditional farming methods are still prevalent. The support from governments helps lower the financial barriers for small and medium-sized enterprises, enabling broader adoption of GIS software in agriculture.

From a regional perspective, North America and Europe are leading the adoption of GIS software in agriculture due to the presence of advanced agricultural infrastructure and high levels of technological awareness among farmers. However, significant growth opportunities exist in the Asia Pacific region, where agriculture is a major economic activity. The increasing focus on sustainable farming practices and the need to enhance productivity to feed the growing population are driving the adoption of GIS software in this region. Latin America and the Middle East & Africa are also expected to witness growth, albeit at a slower pace, as the benefits of GIS technology in agriculture become more widely recognized.

Component Analysis

The GIS software in agriculture market can be segmented by component into software and services. The software segment holds a predominant share in the market due to the extensive use of various GIS applications in farming practices. GIS software assists in mapping, data analysis, and spatial data management, which are critical for precision agriculture. Advanced GIS software products come with features like real-time monitoring, predictive analytics, and integration with other agricultural technologies like drones and IoT sensors. These capabilities make GIS software indispensable for modern farming, thus driving its demand.

Services, which include consulting, implementation, and maintenance services, also play a vital role in the adoption of GIS technology in agriculture. Many farmers and agribusinesses lack the technical expertise to implement and utilize GIS software effectively. Service providers offer valuable support in terms of training, customization, and ongoing technical assistance, ensuring that users can fully leverage the benefits of GIS technology. Additionally, managed services are gaining popularity as they offer continuous monitoring and updates, ensuring optimal performance of GIS applications.

The integration of GIS software with other emerging technologies such as IoT, AI, and big data analytics i

This is the Agriculture data list of available datasets in the GIS department of the MALF. To request data from us, you can read the details of our data sharing policy on the main page of the MALF GIS department website.

The global digital soil mapping platforms market is experiencing robust growth, driven by the increasing need for precision agriculture and sustainable land management practices. The market's expansion is fueled by several key factors, including the rising adoption of advanced technologies like satellite imagery, mobile scouting, and sophisticated data analytics. These technologies provide farmers and agricultural researchers with valuable insights into soil properties, enabling optimized fertilizer application, improved crop yields, and reduced environmental impact. Government initiatives promoting sustainable agriculture and the growing investment in agricultural technology research and development further contribute to the market's upward trajectory. The market is segmented by application (agriculture cooperatives, government & research institutes, agribusiness companies, and others) and by type (mobile scouting, satellite imagery, and others). While the North American market currently holds a significant share, driven by early adoption and technological advancements, regions like Asia-Pacific are projected to witness substantial growth in the coming years, fueled by increasing agricultural activities and government support for digitalization in agriculture. Competition is fierce, with established players like Trimble and Esri alongside emerging innovative companies like SoilOptix and Taranis vying for market share. The market’s growth, however, faces some challenges, including the high initial investment costs associated with adopting these technologies and the need for robust internet connectivity in many agricultural regions. Despite these restraints, the long-term outlook for the digital soil mapping platforms market remains positive, with continued technological advancements and increasing awareness of the benefits of precision agriculture driving sustained expansion. This market is expected to see significant gains in the next decade as precision agriculture becomes more mainstream. The competitive landscape is dynamic, with a mix of established players and innovative startups. Successful companies are those that can effectively integrate various data sources, provide user-friendly interfaces, and offer comprehensive solutions tailored to specific agricultural needs. Future growth will be significantly impacted by the development of more accessible and affordable technologies, improved data integration capabilities, and increasing partnerships between technology providers and agricultural stakeholders. Further research and development focusing on enhancing data accuracy, improving the integration with existing farm management systems, and addressing the challenges related to data privacy and security will also be crucial factors for continued market expansion. The focus on sustainable agriculture and climate-smart practices will drive demand for digital soil mapping platforms offering advanced analytics for carbon sequestration and water management.

Precision agriculture systems and services have experienced substantial growth over the past five years. This growth is primarily driven by the increased adoption of IoT and smart devices, allowing farmers to optimize production efficiencies through real-time data on soil conditions, crop health and weather patterns. Despite initial disruptions from the COVID-19 pandemic, the industry demonstrated resilience due to technological advancements, improved agricultural markets and increasing demand for larger equipment. As a result, industry revenue has grown at a CAGR of 10.9% to $7.6 billion in 2024, with a 1.4% increase in 2024 alone. Advances in drone technology, precision farming software and data analytics have further contributed to this robust growth, enabling more precise and efficient farming practices. Industry profit is predominantly driven by demand from agribusiness sectors, government support and ongoing technological innovations. The various downstream markets, including farm machinery manufacturers, family-owned farms and publicly funded research operations, significantly contribute to revenue generation. The rapid adoption of cutting-edge technologies such as AI, ML and smart devices, combined with government policies promoting sustainable agricultural practices, has bolstered industry profit during the current period. Additionally, partnerships between tech companies and agricultural firms have accelerated innovation, enhancing the capabilities of precision agriculture technologies and supporting higher profitability for machinery manufacturers and service providers. The industry is projected to sustain its robust expansion, growing at a CAGR of 2.7% to $8.7 billion over the next five years. The continuation of favorable policies, such as the potential renewal of the Farm Bill, will support rural development and provide financial aid that make precision agriculture products more accessible. Advances in AI and machine learning will further revolutionize farm management through predictive analytics and automated decision-making capabilities. However, challenges persist, such as the reluctance of some farmers to adopt new technologies and concerns over data security and privacy. Despite these challenges, the expansion of autonomous farming equipment and the increased penetration of broadband and mobile technologies in rural areas are expected to drive greater acceptance and integration of precision agriculture practices, ensuring the industry's sustained growth and profitability.

Geoscience Australia is distributing the Australian Geographic Reference Image (AGRI), a national mosaic which provides a spatially correct reference image at a 2.5 metre resolution across Australia. Geoscience Australia developed AGRI to address the need for a higher resolution reference image, of known accuracy, over the entire Australian continent.

Geoscience Australia developed AGRI between July 2009 and June 2011. The project was made possible by a combination of new data from Japan's Advanced Land Observing Satellite (ALOS) which produced panchromatic observations at 2.5 metre resolution; new `full pass' processing techniques for rectification of satellite imagery developed in the Cooperative Research Centre for Spatial Information and included in the Barista software; Geoscience Australia's expertise in Geodesy and Global Positioning System, and the capabilities of the Australian Spatial industry in GIS database design, field survey and image processing.

Pixel size: 2.5 metres for UTM Zone mosaic and 0.0001 deg (~10 m) for Australia continental mosaic.

File format: Generic BIL files with ER Mapper and ENVI ASCII header for UTM Zone mosaic. ECW compressed files for both Zone mosaic and Continental mosaic.

File size: UTM Zone 49 contrast balanced mosaic - 75GB UTM Zone 50 contrast balanced mosaic -296GB UTM Zone 51 contrast balanced mosaic - 376GB UTM Zone 52 contrast balanced mosaic - 354GB UTM Zone 53 contrast balanced mosaic - 381GB UTM Zone 54 contrast balanced mosaic - 472GB UTM Zone 55 contrast balanced mosaic - 474GB UTM Zone 56 contrast balanced mosaic - 377GB Continental contrast balanced mosaic - 145GB

Epoch: 25/4/2010, 27/6/2010, 15/7/2010, 7/7/2007, 22/5/2007, 16/6/2010, 18/5/2010, 17/1/2010, 4/6/2010, 6/5/2010, 20/11/2009, 30/3/2007, 15/5/2007, 29/11/2006, 22/10/2009, 25/10/2010/, 19/7/2008, 8/8/2009, 21/12/2008, 8/5/2009, 10/1/2010, 23/4/2008, 11/6/2009, 16/8/2010, 28/3/2009, 10/11/2008, 30/8/2009, 14/4/2009, 25/5/2007, 1/8/2009, 13/9/2008, 29/7/2008, 5/4/2010, 3/7/2009, 10/2/2007, 7/3/2010, 22/4/2010, 22/12/2009, 3/7/2007, 8/7/2009, 18/11/2007, 23/5/2009, 12/6/2010, 28/10/2010, 14/5/2010, 14/8/2010, 28/8/2009, 15/12/2009, 2/8/2010, 19/5/2010, 19/6/2009, 1/5/2008, 3/1/2009, 31/3/2007, 18/2/2009, 26/10/2010, 24/9/2009, 26/8/2009, 15/6/2010, 17/8/2010, 3/6/2010, 2/8/2009, 22/5/2010, 8/9/2010, 22/6/2009, 24/8/2009, 29/7/2010, 30/9/2010, 17/7/2010, 15/6/2009, 2/7/2009, 19/7/2009, 20/6/2009, 22/8/2009, 11/3/2010, 13/5/2010, 9/7/2008, 1/5/2010, 30/6/2009, 20/10/2010, 3/8/2009, 8/7/2010, 25/10/2010, 8/8/2009, 10/10/2009, 30/7/2010, 13/8/2009, 30/11/2009, 16/6/2009, 5/4/2010, 23/7/2010, 6/5/2009, 23/11/2009, 9/3/2009, 29/3/2010, 16/10/2010, 2/5/2010, 29/12/2008, 18/1/2010, 22/9/2010, 9/10/2010, 23/1/2010, 27/9/2010, 29/5/2010, 30/4/2010, 2/10/2010, 19/10/2010

This data is available under Australian Creative Commons 3.0: http://creativecommons.org/licenses/by/3.0/au/

Details of the processing characteristics are available from Technical Report, GeoCat #72657

This dataset contains a list of registered farm implement dealers, distributors and dealer/distributors in Ontario. Dealers offer farm implements or replacement parts for sale to the public while distributors sell, consign, or deliver farm implements or replacement parts to a dealer. Dealer/distributors carry out the function of both dealers and distributors.These dealers, distributors and dealer/distributors hold a valid registration under the Farm Implements Act, 1990 from the Ministry of Agriculture, Food and Rural Affairs (OMAFRA).The purpose of the Farm Implements Act is to improve farm machinery safety and to protect the large investments that farmers and dealers make in farm machinery. OMAFRA encourages farmers and dealers to exercise caution before making investments in farm implements with a dealer or distributor who is not registered or located in Ontario.Registrations are renewed annually (expire December 31), and the list is updated annually. This list is maintained by OMAFRA and includes company names, contact names and addresses.StatusOn going: data is being continually updatedMaintenance and Update FrequencyAnnually: data is updated in April every yearContactStephanie Gasko, Engineering Program Coordinator, Environmental Management Branch, stephanie.gasko@ontario.ca

The data originates from national monitoring on the effects of the Finnish agri-environment support scheme (MYTVAS). In common with other MYTVAS surveys, 55 1-km2 squares of agricultural landscapes were selected using stratified random sampling in four geographical regions in Finland. Ca. 90 other squares were randomly selected elsewhere in southern Finland, often neighbouring each other. In each study square birds were counted from the whole farmland area by using a three-visit territory mapping method (2 May - 18 June; in 2000 and 2001 only two visits). The number of squares surveyed varied from 20 - 141 with years. Survey data was entered into a GIS database. The methods are described in the following publications:

Tiainen, J., Ekroos, J., Holopainen, J., Piha, M., Rintala, J., Seimola, T. & Vepsäläinen, V. 2008. Maatalousympäristön linnuston muutos ympäristöohjelmakaudella 2000 - 2006. In: Kuussaari, M., Heliölä, J., Tiainen, J., Helenius, J. (Eds.). Maatalouden ympäristötuen merkitys luonnon monimuotoisuudelle ja maisemalle. MYTVAS-loppuraportti 2000-2006 (Significance of the Finnish agri-environment support scheme for biodiversity and landscape: Final report 2000-2006, in Finnish). Suomen ympäristö 4: 92-111.

Tiainen, J., Holopainen, J. Seimola, T., Ekroos, J., Piha, M. & Vepsäläinen, V. 2004. Maatalousympäristön pesimälinnuston seuranta. In: Kuussaari, M., Tiainen, J., Helenius, J., Hietala-Koivu, R. & Heliölä, J. (toim.). Maatalouden ympäristötuen merkitys luonnon monimuotoisuudelle ja maisemalle. MYTVAS-seurantatutkimus 2000–2003. (Significance of the Finnish agri-environment support scheme for biodiversity and landscape: results of the MYTVAS project 2000–2003, in Finnish). Suomen ympäristö 709: 92-109.

Tiainen, J., Seimola, T. & Rintala, J. 2010. Pesimälinnusto. In: Aakkula, J., Manninen, T. & Nurro, M. (Eds.). Maatalouden ympäristötuen vaikuttavuuden seurantatutkimus (MYTVAS 3) - Väliraportti. Maa- ja metsätalousministeriön julkaisuja 1:66-74.

Tiainen, J., Rintala, J., Ekroos, J., Holopainen, J., Piha, M., Seimola, T. & Vepsäläinen, V. 2007. Suomen maatalousympäristön linnuston muutos 2000-luvulla (Recent trends of breeding farmland bird populations in Finland). Linnut-vuosikirja 2006:100–108. (In Finnish with English summary)

Vepsäläinen, V., Tiainen, J., Holopainen, J., Piha, M. & Seimola, T. 2010. Improvements in the Finnish agri-environment scheme are needed in order to support rich farmland avifauna. Annales Zoologici Fennici 47:287–305.

Results of analyses into these data wee published in the following theses and their originial articles: Piha, M. 2007. Spatial and temporal determinants of Finnish farmland bird populations. Ph.D. thesis, University of Helsinki. Vepsäläinen, V. 2007. Farmland birds and habitat heterogeneity in intensively cultivated boreal agricultural landscapes. Ph.D. thesis, University of Helsinki.

Localised treatment plants (data from the ROSEAU application, powered by SGREB): https://eau.agriculture.gouv.fr/roseau/extractions/extractions.xhtml?ticket=ST-83082-C4qYcoulxXOdnyxSEKVd-eap1.agri CSV data table, transformed into a GIS layer by geolocation of the x coordinates, and Y of each station. The file contains voluntarily (at the request of SGREB) all the information from ROSEAU, including the X and Y coordinates of releases to the environment.

2 STEUs were manually geolocated based on information from the SANDRE website: Bailleau-le-Pin and VILLIERS-LE-MORHIER-GOBIENNE 2 STEU (Montireau — PRIVEE and FAVIERES — ARMEES) could not be geolocated due to lack of information.

This dataset contains a list of drainage superintendents who are appointed by the local municipality to manage drains constructed under the Drainage Act, 1990. Drainage superintendents are businesses or individuals that represent the local municipality to assist landowners to resolve their drainage concerns using the Ontario Drainage Act, 1990.

This list is maintained by the Ministry of Agriculture, Food and Agribusiness (OMAFA) and includes municipality names, addresses, telephone numbers, and superintendent contact information. This list is updated annually or as required throughout the year.

More information about the work of drainage superintendents can be found at Drainage Superintendents Association of Ontario (DSAO).

Status Ongoing: data is being continually updated

Maintenance and Update Frequency Irregular: data is updated in intervals that are uneven in duration

Contact Ontario Ministry of Agriculture, Food, and Rural Affairs (OMAFRA), omafra.gis@ontario.ca

Economic potential for integrated photovoltaics on agricultural lands at municipal level Geodata sources (administrative entities): ACT Luxembourg 2017, IGN France 2017, GeoBasis-DE / BKG 2017, NGI-Belgium 2017. Harmonization: SIG-GR / GIS-GR 2020 Thematic data sources: © Ministerium für Wirtschaft, Verkehr, Landwirtschaft und Weinbau (MWVLW) Rheinland-Pfalz 2021; Ministerium für Umwelt und Verbraucherschutz (MUV) Saarland 2020; ASTA Luxembourg 2021 ; IGN France – 2020; SPW Wallonie 2020. Harmonization: © IZES gGmbH 2022 Territorial entities: municipalities The map shows the economic potential for integrated photovoltaics on agricultural lands by using vertical bifacial PV systems in the Greater Region. Only the prioritized areas with an area size (≥ 10 ha) and crops without maize are shown. With the current technology used, areas of 10 ha or more can be used for AgriPV in an economically viable way. Areas cultivated with maize are unsuitable due to the growth height of the maize plants. Depending on the current legal framework, the areas are shown in colour. When a coloured area is selected, further information on the potential output and electricity generation as well as on the reference to the legal framework conditions is displayed. This is a theoretical potential based on the calculations and the assumptions on which the calculations are based. Therefore, when using the data, it should be noted that the data are based on a statistical approach and represent an approximation or an estimate regarding the potential. The Luxembourg Ministry of Energy and Spatial Planning has organised a call for tenders in October 2022 to promote Agri-PV pilot installations on agricultural land. The PV projects are intended to ensure continued agricultural production on the land while promoting biodiversity (flora). The projects will be supported through a market premium over a period of 15 years. It should be noted that the areas prioritised on the greater-regional maps and the potentials identified are based on project-specific assumptions within the framework of the "PV follows function" project and do not allow a statement to be made on either the approvability or the technical-economic feasibility of a project within the framework of the Luxembourg Ministry's call for tenders.

The agricultural land base for the Greater Golden Horseshoe is comprised of prime agricultural areas, including specialty crop areas, and rural lands that together create a continuous, productive land base for agriculture. The Province has issued the agricultural land base map as enabled by the Greenbelt Plan, 2017; the Growth Plan, 2017; the Oak Ridges Moraine Conservation Plan, 2017; and the Niagara Escarpment Plan, 2017. The agricultural land base mapping is to be used in conjunction with the Agricultural System policies in provincial plans, Implementation Procedures for the Agricultural System in the Greater Golden Horseshoe, and the Agricultural System Portal as a framework to protect farmland, while supporting the viability of the agri-food sector. Legislated or Legal Authority for Collection:

Places to Grow Act Greenbelt Act Oak Ridges Moraine Conservation Act Niagara Escarpment Planning and Development Act.

Status

Completed: Production of the data has been completed

Maintenance and Update Frequency Not stated

Contact

Arthur Churchyard, Food Safety and Environmental Policy Branch, Arthur.Churchyard@ontario.ca

The intended use of this data is to assist the public and ministry staff to locate licenced fish processing plants.

Goal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovationAbout 2.6 billion people in the developing world are facing difficulties in accessing electricity full time.2.5 billion people worldwide lack access to basic sanitation and almost 800 million people lack access to water, many hundreds of millions of them in sub-Saharan Africa and South Asia.1 to 1.5 million people do not have access to reliable phone service.For many African countries, particularly the lower-income countries, infrastructure constraints affect company productivity by around 40%.Manufacturing is an important employer, accounting for around 470 million jobs worldwide in 2009 – or around 16% of the world’s workforce of 2.9 billion. It is estimated that there were more than half a billion jobs in manufacturing in 2013.Industrialization’s job multiplication effect has a positive impact on society. Every one job in manufacturing creates 2.2 jobs in other sectors.In developing countries, barely 30% of agricultural production undergoes industrial processing. In high-income countries, 98% is processed. This suggests that there are great opportunities for developing countries in agribusiness.India’s growth rate averaged at 7.25% in the last 5 years.India’s CO2 emissions per capita are 1.67 (metric tons), one of the lowest in the world, the global average being around 4-5(metric tons). In 2010, per capita annual electricity consumption was 626 kwH compared to the global average of 2977 kwH.This map layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

OMAFRA is responsible for licensing Ontario's dairy plants. The intended use of this data is to assist the public and ministry staff to locate licenced dairy plants.

Licensing is based on food safety requirements and not the size of the plant or volume of products. Applicants submit a letter of intent for application and pay a $150.00 licensing fee. After review they will receive approval and may begin manufacturing of dairy products. Application for permits are submitted at the same time as applications for a license for the operation of a plant.

Status

On going: data is being continually updated

Maintenance and Update Frequency

Unknown: frequency of maintenance of the data is not known

Contact

Land Information Ontario, omafra.gis@ontario.ca

This interactive map of Nepal, broken down into five development regions, highlights the Mid-Western and Far-Western regions as the priority area for the Nepal Food Security Enhancement Project (jointly financed by the Nepal Government and GAFSP). The project is being implemented in nineteen hill and mountain districts of these two regions. The interactive map shows sub-national poverty and malnutrition data, as well as information on irrigation in the various regions. The Mid-Western and Far-Western regions are the two regions where poverty and malnutrition are the highest in the country. The Nepal Living Standard Survey (NLSS III, 2010) showed that 37% of the people in the rural hills of these regions fall below the poverty line, compared to the national average of 25.16%. The proportion of underweight children under the age of 5 years in the Mid-Western region is the highest in the country (more than 10%). The project has been designed to enhance food security and nutrition in food insecure communities in these two regions. Data Sources: Nepal Agriculture and Food Security Project (NAFSP) LocationsSource: GAFSP and World Bank Documents. Poverty (Proportion of population below the poverty line) (2010/11): Proportion of the population living on less than Rs 19.261 per year, in average 2010/11 prices.Source: Nepal Central Bureau of Statistics. Poverty in Nepal 2010/11. Nepal Living Standard Survey III 2010/11 (NLSS III). Poverty (Proportion of population below the poverty line at district level) (2011): Proportion of the population living on less than Rs 19.261 per year, in average 2010/11 prices.Source: Nepal Central Bureau of Statistics - World Bank. “Nepal Small Area Estimation of Poverty, 2011 -Estimations based on Living Standards Survey 2010-11, Nepal Census 2011 and GIS information from the Vulnerability Analysis and Mapping Unit of World Food Program Nepal.” Malnutrition (Proportion of underweight children under 5 years) (2011): Prevalence of severely underweight children is the percentage of children aged 0-59 months whose weight for age is less than minus 3 standard deviations below the median weight-for-age of the international reference population.Source: Measure DHS - Nepal Ministry of Health and Population. "2011 Nepal Demographic and Health Survey." Population (Total population) (2011): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Source: Nepal Central Bureau of Statistics. “2011 Census Preliminary Results.” Population Density (Persons per 1 square kilometer) (2011): Population divided by land area in square kilometers.Source: Nepal Central Bureau of Statistics. 2011 Census preliminary results. Irrigation (2009/10): Total Irrigated Area in Hectares.Source: Ministry of Agriculture and Co-operatives. Statistical Information on Nepalese Agriculture 2009/10. Irrigation (2011/12): Total irrigated area in hectares.Source: Ministry of Agriculture - Department of Irrigation - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Area (2011-12): Area in hectares of agricultural land used for rice.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012."

Rice Production (2011-12): Rice harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Productivity (2011-12): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Rice Area (2013-14): Area in hectares of agriculture land used for rice.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."

Rice Production (2013-14): Rice harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."
Rice Productivity (2013-14): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Wheat Area (2011-12): Area in hectares of agriculture land used for wheat.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Wheat Production (2011-12): Wheat harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012."
Wheat Productivity (2011-12): Wheat yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Wheat Area (2013-14): Area in hectares of agriculture land used for wheat.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Wheat Production (2013-14): Wheat harvested expressed in tons.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."
Wheat Productivity (2013-14): Rice yield expressed in kilograms per hectare.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014." Livestock Inventory (2011-12): Number of cattle, goat, and sheep by district.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2011/2012." Livestock Inventory (2013-14): Number of cattle, goat, and sheep by district.Source: Ministry of Agricultural Development - Agri-Business Promotion and Statistics Division Statistics Section. "Statistical Information on Nepalese Agriculture 2013/2014."

The maps displayed on the GAFSP website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

The Province of Ontario's Licensed Deadstock Facilities, also referred to as Licensed Deadstock Operators.The proper management of deadstock is crucial for maintaining Ontario's food safety systems and therefore there are regulations in place for off-farm disposal. Licensed facilities are governed under Regulation 105/09 - these facilities process dead livestock and\or will provide on-farm processing services. These facilities may process deadstock including alpacas, bison, cattle, deer, elk, goats, llamas, sheep, yaks, horses, ponies, donkeys, pigs and other porcine animals, ratites, rabbits and poultry.

Status

Completed: production of the data has been completed

Maintenance and Update FrequencyUnknown: frequency of maintenance of the data is not known

Contact

Ontario Ministry of Agriculture, Food and Rural Affairs, omafra.gis@ontario.ca