MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621042418 A) filed by Dr. Shailaja Uke; Sonali Antad; Radha Waman; Shreya Wanwe; Dhanashri Wankhede; and Srikaanth Chockalingam, Pune, Maharashtra, on April 2, for 'iot-based crop recommendation system with ai-driven decision support.'
Inventor(s) include Dr. Shailaja Uke; Sonali Antad; Radha Waman; Shreya Wanwe; Dhanashri Wankhede; and Srikaanth Chockalingam.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "Agricultural productivity is limited by climate variability, soil differences, and fluctuating market conditions, making traditional crop selection unreliable. Our system is an IoT- and AI-based decision support system that collects real-time temperature, humidity, soil-moisture, and soil-image data using low-cost sensors and a Raspberry Pi platform. This data is fused with historical climate trends, soil classification, and live government market prices to generate accurate, location-specific crop recommendations. A hybrid engine combining Google Gemini AI with heuristic scoring provides adaptive and explainable insights, while an on-device CNN enables offline soil analysis in extreme cases. Unlike existing systems that depend on static datasets or constant connectivity, It offers a compact, multi-modal, and fault-tolerant solution with full offline capability. The system is scalable and supports future extensions such as pest detection, yield prediction, and long-range communication for improved precision farming."
Disclaimer: Curated by HT Syndication.
