Farmer data supports the overall well-being of farming communities. The data provides historical insight via record keeping, highlights agricultural productivity, reveals specific land use metrics, aids in the creation of effective government policies, forecasts market trends as well as providing relevant statistics to insurance and banking institutions.

Listed below are the main categories of interest for the use of farmer data.

Market Analysis: This information can help agribusiness and other relevant stakeholders make informed decisions about buying, selling, and investing in agricultural commodities.

Insurance and Risk Management: Insurance companies can use farmer data to assess risk and determine premiums for crop insurance policies.
Research and Development: Agricultural researchers use farmer data to study various aspects of crop production, soil health, pest management, and more. This data can contribute to the development of new farming practices, technologies, and crop varieties that are more resilient, productive, and sustainable.

Government Policy and Regulation: Governments can use the farmer data to formulate agricultural policies and regulations. This includes data on farm size, production practices, environmental impact, and the like.

Supply Chain Management: Food companies and retailers may use farmer data to track the origin and quality of agricultural products throughout the supply chain. This will ensure food safety, traceability, and compliance with quality standards and certifications.

Financial Services: Banks and other financial institutions may use farmer data to assess a farmer’s creditworthiness and make lending decisions. This can include data on farm income, assets, liabilities, and repayment history.