Shaping the Deep Tech Revolution in Agriculture 2025

Crop-loss assessments for insurance conventionally rely on manual crop-cutting experiments (CCEs). This method is slow, often inaccurate and can lack transparency, delay claim settlements and cause disputes. To solve this, India’s PMFBY20 implemented a technology- driven solution centred on remote sensing. The system uses satellite imagery to monitor crop health. High-resolution drones and a dedicated mobile app for geotagged, real-time data collection supplement this. This multilayered approach replaces subjective manual assessments with objective, verifiable data, streamlining the entire loss-estimation process. Such tech transformation can ensure faster and more accurate claim settlements, providing crucial financial support to farmers when they need it the most. The use of objective satellite data enhances transparency and builds trust. The comprehensive data on crop health also empowers the government and insurers to better manage agricultural risks and develop more effective insurance products.CASE STUDY 3 Remote sensing for efficient crop insurance – India’s Pradhan Mantri Fasal Bima Yojana (PMFBY) Robotics includes the use of autonomous mechanical systems to perform labour-intensive or complex tasks. These systems are enabled with sensing and decision-making and can function optimally without direct human intervention. In agriculture, when combined with computer vision, robotics can facilitate precision planting, crop-stress monitoring, automated harvesting (by analysing fruit ripeness), real-time crop monitoring and precise input application. 3.5 Robotics (including drones) Shaping the Deep-Tech Revolution in Agriculture 18