Intellectual Property India Publishes Patent Application for An Agricultural Data Analytics System For Sensor-Based Crop Condition Assessment And Resource Control In Smart Farming

MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202631073342 A) filed by Dr. Abhinandita Sahoo; Mr. Gangavaram Veera Sankara Reddy; Dr. Geetamma Tummalapalli; Mr. Madhava Rao Karri; Mr. Rahul Kumar; Mr. Vara Venkata Krishna Reddy; Mr. Alakuntla Sai Madhav Raj; Mr. Buchupalli Narasimha Reddy; and Dr. Jami Venkata Suman on June 12, 2026, for An Agricultural Data Analytics System For Sensor-Based Crop Condition Assessment And Resource Control In Smart Farming.

Inventors include Dr. Abhinandita Sahoo; Mr. Gangavaram Veera Sankara Reddy; Dr. Geetamma Tummalapalli; Mr. Madhava Rao Karri; Mr. Rahul Kumar; Mr. Vara Venkata Krishna Reddy; Mr. Alakuntla Sai Madhav Raj; Mr. Buchupalli Narasimha Reddy; and Dr. Jami Venkata Suman.

The application for the patent was published on July 03, 2026, under issue no. 27/2026.

Abstract: [041] The present invention relates to an agricultural data analytics system for smart farming. The system comprises field sensing units, an edge gateway, a data normalization engine, an agricultural analytics engine, a recommendation generation module, and a farm equipment control interface. The system collects soil data, environmental data, crop image data, irrigation activity data, nutrient application data, and historical crop records from one or more agricultural plots. The collected data is validated, normalized, assigned to field zones, and processed to determine a crop condition index. Based on the crop condition index, the system generates irrigation recommendations, nutrient recommendations, crop stress alerts, pest risk alerts, disease risk alerts, yield risk indications, and equipment control signals. The edge gateway supports local storage and prioritized communication during intermittent network availability. The system provides explainable recommendations and safety-controlled equipment operation, thereby improving crop monitoring, resource utilization, and technical reliability in smart farming environments. Accompanied Drawing [FIGS. 1-2]

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