Future Farming in India 2025

Agricultural finance and insurance Use case DescriptionHigh-level flowchart of AI value delivery Start-up examples AI-based credit scoringAI assesses the creditworthiness of farmers by analysing data such as crop history, landholding size and market trends, enabling financial institutions to offer loans to farmers lacking traditional credit histories. –Farmers’ data on crops, land, etc. collected –AI evaluates credit risk –Credit score assigned to each farmer –Banks offer loans based on scores –Increased access to finance for farmersSamunnati (India): Case study Jaikisan (India) Parametric insurance solutionsAI models predict weather events and crop risks, enabling insurance companies to offer parametric insurance products. Payouts are automatically triggered based on predefined events such as drought or flood, providing quick financial relief to farmers. –Weather and crop data monitored –AI evaluates risk probabilities –Farmers buy insurance policies –AI tracks events in real time –Payouts are triggered automatically if events occur –Quick financial relief for farmersSatSure (India) Cropin (India): Case studyAI use cases in agriculture (continued) TABLE 7 Future Farming in India 49