Artificial Intelligence is quietly advancing in Andhra Pradesh's farmlands to check and confirm the accuracy of agricultural data. The State Agriculture Department has finished testing AI tools tied to the Performance Monitoring Application (PMA). PMA is already used by more than 10,000 field workers for attendance, geo-tagged activities, and live communication with farmers. After successful trials, the AI system will soon be rolled out statewide. Every geo-tagged photo, attendance record, and field report uploaded on the PMA app will be automatically checked by AI engines. This technology verifies if images, locations, and times are real, making sure field data shows the true conditions on the ground. Agriculture Director Manazir Jeelani Samoon told The Hindu, “The system is designed to cross-check, verify and establish the genuineness of reports submitted from villages. This adds a new layer of credibility to agricultural data and policy decisions.” The AI can even spot fake uploads like "photo-on-photo" where old images are reused falsely. It also matches the crops reported with the seeds and fertilizers given, stopping fraud like claiming maize as paddy. This effort is led by the Digital Agriculture Cell (DAC), which builds digital records of land, crops, and farmers. Supported by the National Informatics Centre and tech firms Purpletalk, Symphonize, and Vassar Labs, DAC is turning paper surveys into real-time digital data. A key result is e-Panta, Andhra Pradesh's online crop survey system, which has mapped over five crore land parcels during Kharif and Rabi seasons. Crop details are geo-tagged and linked with Revenue Department records, cutting errors and speeding up benefits to farmers.