Intellectual Property India Publishes Patent Application for Self Adaptive Soil Intelligence System With Reinforcement Learning Based Fertilizer Optimization And Dynamic Yield Feedback.

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641069070 A) filed by Satheeshkumar. R; Aboorva V; Hari Janani. M; Soundarya S; and Yoganath P on June 02, 2026, for Self Adaptive Soil Intelligence System With Reinforcement Learning Based Fertilizer Optimization And Dynamic Yield Feedback..

Inventors include Satheeshkumar. R; Aboorva V; Hari Janani. M; Soundarya S; and Yoganath P.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: The present invention relates to a self-adaptive artificial intelligence-based soil analysis and fertilizer recommendation system for precision agriculture. The system comprises a soil environment entity, a sensor data acquisition unit, an artificial intelligence processing system, a predictive analytics module, a feedback learning engine, a recommendation engine, and a notification interface. Soil parameters including pH, nitrogen, phosphorus, potassium, and moisture content are continuously monitored and processed through a preprocessing engine to generate structured data representations. A predictive analytics module performs crop yield estimation, soil health evaluation, and fertilizer optimization using multi-parameter analysis. A feedback learning engine dynamically updates system models based on actual crop yield outcomes and soil response patterns, enabling adaptive optimization of fertilizer recommendations. A recommendation engine generates actionable agricultural strategies, and a notification interface provides real-time alerts and user interaction. The system operates as a closed-loop intelligent decision-support platform, improving fertilizer efficiency, enhancing crop productivity, and promoting sustainable agricultural practices.

Disclaimer: Curated by HT Syndication.