MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134014 A) filed by Muthayammal Engineering College, Namakkal, Tamil Nadu, on Dec. 31, 2025, for 'iot-enabled ai platform for predicting agricultural yield under climate variations.'
Inventor(s) include Dr. D. Anitha; Prabhu P; Kavya P; Kavitha M; Hemapriya S; Aarthi J; Megavarthini S; Navishka M; Kiruthika S; Konatalapalli Venkatesh; Kasarabada Veera Venkata Sai G Karthikeya; and Kotha Sravan.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-enabled artificial intelligence platform for predicting agricultural yield under varying climatic conditions. The system integrates distributed Internet of Things sensors deployed across agricultural fields with advanced machine learning and deep learning models to continuously acquire, process, and analyze soil, crop, and microclimatic data. Real-time field-level data is fused with historical climate records, satellite-derived climate indicators, and seasonal weather forecasts to construct a unified agro-climatic representation. The platform employs climate-aware predictive models capable of capturing complex nonlinear interactions between climate variability, soil characteristics, crop growth stages, and management practices. An adaptive learning mechanism continuously updates prediction models using historical yield outcomes, enabling progressive improvement in accuracy across seasons and regions. The invention further supports scenario-based yield forecasting under potential climate variations, thereby facilitating early risk assessment and informed agricultural decision-making. A hybrid edge-cloud computing architecture ensures scalability, robustness, and reliable operation under real-world connectivity constraints. The disclosed platform provides accurate, resilient, and actionable yield predictions and represents a significant technological advancement in climate-resilient smart agriculture."
Disclaimer: Curated by HT Syndication.
