Abstract

Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms. The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 4,000 farms and covers more than 20 different crops in 46 countries. The data (except USA data and for Barley in UK, Germany, Poland, Czech Republic, France and Spain) was collected, consolidated and reported by Kynetec (previously Market Probe), an independent market research agency. It can be used as benchmarks for crop yield and input efficiency.

Geographic coverage

National coverage

Analysis unit

Agricultural holdings

Kind of data

Sample survey data [ssd]

Sampling procedure

A. Sample design Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms. The reference farms were selected by Syngenta and the benchmark farms were randomly selected by Kynetec within the same cluster.

B. Sample size Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done by Kynetec based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).

C. Selection procedure The respondents were picked randomly using a “quota based random sampling” procedure. Growers were first randomly selected and then checked if they complied with the quotas for crops, region, farm size etc. To avoid clustering high number of interviews at one sampling point, interviewers were instructed to do a maximum of 5 interviews in one village.

BF Screened from Japan were selected based on the following criterion: Location: Hokkaido Tokachi (JA Memuro, JA Otofuke, JA Tokachi Shimizu, JA Obihiro Taisho) --> initially focus on Memuro, Otofuke, Tokachi Shimizu, Obihiro Taisho // Added locations in GGP 2015 due to change of RF: Obhiro, Kamikawa, Abashiri
BF: no use of in furrow application (Amigo) - no use of Amistar

Contract farmers of snacks and other food companies --> screening question: 'Do you have quality contracts in place with snack and food companies for your potato production? Y/N --> if no, screen out

Increase of marketable yield --> screening question: 'Are you interested in growing branded potatoes (premium potatoes for processing industry)? Y/N --> if no, screen out

Potato growers for process use
Background info: No mention of Syngenta Background info: - Labor cost is very serious issue: In general, labor cost in Japan is very high. Growers try to reduce labor cost by mechanization. Percentage of labor cost in production cost. They would like to manage cost of labor - Quality and yield driven

Mode of data collection

Face-to-face [f2f]

Research instrument

Data collection tool for 2019 covered the following information:

(A) PRE- HARVEST INFORMATION

PART I: Screening PART II: Contact Information PART III: Farm Characteristics a. Biodiversity conservation b. Soil conservation c. Soil erosion d. Description of growing area e. Training on crop cultivation and safety measures PART IV: Farming Practices - Before Harvest a. Planting and fruit development - Field crops b. Planting and fruit development - Tree crops c. Planting and fruit development - Sugarcane d. Planting and fruit development - Cauliflower e. Seed treatment

(B) HARVEST INFORMATION

PART V: Farming Practices - After Harvest a. Fertilizer usage b. Crop protection products c. Harvest timing & quality per crop - Field crops d. Harvest timing & quality per crop - Tree crops e. Harvest timing & quality per crop - Sugarcane f. Harvest timing & quality per crop - Banana g. After harvest PART VI - Other inputs - After Harvest a. Input costs b. Abiotic stress c. Irrigation

See all questionnaires in external materials tab

Cleaning operations

Data processing:

Kynetec uses SPSS (Statistical Package for the Social Sciences) for data entry, cleaning, analysis, and reporting. After collection, the farm data is entered into a local database, reviewed, and quality-checked by the local Kynetec agency. In the case of missing values or inconsistencies, farmers are re-contacted. In some cases, grower data is verified with local experts (e.g. retailers) to ensure data accuracy and validity. After country-level cleaning, the farm-level data is submitted to the global Kynetec headquarters for processing. In the case of missing values or inconsistences, the local Kynetec office was re-contacted to clarify and solve issues.

Quality assurance Various consistency checks and internal controls are implemented throughout the entire data collection and reporting process in order to ensure unbiased, high quality data.

• Screening: Each grower is screened and selected by Kynetec based on cluster-specific criteria to ensure a comparable group of growers within each cluster. This helps keeping variability low.

• Evaluation of the questionnaire: The questionnaire aligns with the global objective of the project and is adapted to the local context (e.g. interviewers and growers should understand what is asked). Each year the questionnaire is evaluated based on several criteria, and updated where needed.

• Briefing of interviewers: Each year, local interviewers - familiar with the local context of farming -are thoroughly briefed to fully comprehend the questionnaire to obtain unbiased, accurate answers from respondents.

• Cross-validation of the answers: o Kynetec captures all growers' responses through a digital data-entry tool. Various logical and consistency checks are automated in this tool (e.g. total crop size in hectares cannot be larger than farm size) o Kynetec cross validates the answers of the growers in three different ways: 1. Within the grower (check if growers respond consistently during the interview) 2. Across years (check if growers respond consistently throughout the years) 3. Within cluster (compare a grower's responses with those of others in the group) o All the above mentioned inconsistencies are followed up by contacting the growers and asking them to verify their answers. The data is updated after verification. All updates are tracked.

• Check and discuss evolutions and patterns: Global evolutions are calculated, discussed and reviewed on a monthly basis jointly by Kynetec and Syngenta.

• Sensitivity analysis: sensitivity analysis is conducted to evaluate the global results in terms of outliers, retention rates and overall statistical robustness. The results of the sensitivity analysis are discussed jointly by Kynetec and Syngenta.

• It is recommended that users interested in using the administrative level 1 variable in the location dataset use this variable with care and crosscheck it with the postal code variable.

Data appraisal

Due to the above mentioned checks, irregularities in fertilizer usage data were discovered which had to be corrected:

For data collection wave 2014, respondents were asked to give a total estimate of the fertilizer NPK-rates that were applied in the fields. From 2015 onwards, the questionnaire was redesigned to be more precise and obtain data by individual fertilizer products. The new method of measuring fertilizer inputs leads to more accurate results, but also makes a year-on-year comparison difficult. After evaluating several solutions to this problems, 2014 fertilizer usage (NPK input) was re-estimated by calculating a weighted average of fertilizer usage in the following years.

Snapshot img

Drip Irrigation Systems Market Size 2025-2029

The drip irrigation systems market size is forecast to increase by USD 3.94 billion at a CAGR of 10.1% between 2024 and 2029.

The market is experiencing significant growth due to increasing government initiatives promoting sustainable agriculture practices. These initiatives prioritize water conservation and efficient use of resources, making drip irrigation systems an attractive solution for farmers. Additionally, the rising demand for automated features in agriculture is driving market expansion, as drip irrigation systems offer precise water delivery and reduced labor requirements. The market is experiencing growth as advanced filters and valves are increasingly incorporated to improve water efficiency and ensure precise control over irrigation.
However, the high initial and maintenance costs associated with these systems remain a challenge for market growth. To capitalize on opportunities and navigate these challenges effectively, companies must focus on developing cost-effective solutions while maintaining the efficiency and automation features that appeal to farmers and investors. Strategic partnerships and collaborations could also help reduce costs and expand market reach. Overall, the market presents a compelling opportunity for companies seeking to contribute to sustainable agriculture practices and profit from the growing demand for efficient irrigation solutions.

What will be the Size of the Drip Irrigation Systems Market during the forecast period?

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The market encompasses the production and distribution of technology that delivers water and nutrients directly to the plant root zone in drier areas. This method is increasingly popular among various sectors, including commercial nurseries, farm operations, vegetable gardens, and perennial gardens, due to its ability to enhance plant productivity, prevent diseases, and suppress weed growth. These systems enable precise moisture control, reducing water leaching and saving time and labor compared to traditional irrigation methods.
Their versatility makes them suitable for uneven ground, ensuring optimal water distribution and efficient use. The market is expanding as the use of drip emitters combined with fertilizers enables more efficient water and nutrient delivery, enhancing crop yields and reducing waste. Overall, the market continues to grow, driven by the need for water conservation and the desire for improved crop yields and healthier plants.

How is the Drip Irrigation Systems Industry segmented?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Agriculture
  Others


Type

  Inline
  Online


Technology

  Automation technologies
  Smart watering controllers
  IoT-based systems
  Digital flow meters


Crop Type

  Fruits and nuts
  Field crops
  Vegetable crops
  Others


Geography

  APAC

    China
    India
    Japan
    South Korea


  Europe

    France
    Germany
    Italy
    UK


  North America

    US
    Canada


  South America



  Middle East and Africa

By End-user Insights

The agriculture segment is estimated to witness significant growth during the forecast period. Drip irrigation systems have gained significant popularity in the agriculture sector due to their water efficiency and precision. These systems ensure controlled water supply to plants through small emitters in tubing, which can be installed at ground level or subsurface. Compared to traditional irrigation methods like surface and overhead irrigation, drip irrigation minimizes water loss through evaporation and runoff. This method is particularly beneficial in drier areas and uneven ground conditions. These systems promote optimal moisture levels in the plant root zone, enhancing plant productivity and disease prevention. They also inhibit weed growth and save time and labor by reducing the need for frequent watering.

With water conservation being a critical concern, drip irrigation is an efficient watering method that saves money on water usage and utility bills. The agriculture sector, including commercial nurseries, farm operations, vegetable gardens, and perennial gardens, benefits from this technology. These systems can be classified based on dripper type, pressure regulation, and water conservation features. Maintenance costs are relatively low, making it a sustainable agriculture solution for row crops and greenhouse production.

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The Agriculture segment was valued at USD 3.94 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute