MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611026375 A) filed by CT University, Ludhiana, Punjab, on March 6, for 'ai system for predicting the most suitable crop based on soil profile and weather conditions.'
Inventor(s) include Dr. Satvir Singh; Dr. Nitin Tandon; Dr. Abhilash Thakur; Dr. Sandeep Ranjan; and Dr. Anurag Sharma.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "An artificial intelligence based crop suitability prediction system comprising a Soil Data Acquisition Module (101), a Weather & Climate Data Interface (102), a Crop Knowledge Graph Database (103), an AI Suitability Processing Engine (104), a Predictive Analytics & Simulation Module (105), and a Decision Output & Advisory Interface (106) is disclosed. The system generates a Soil Capability Signature from soil physicochemical parameters and forms a Climate Feasibility Model using real-time and historical climate variability. Crop Suitability Fingerprints are retrieved from a crop knowledge graph and matched to compute a Crop Compatibility Index. Environmental simulation provides yield prediction, irrigation requirement and fertilizer optimisation. Ranked crop recommendations with adaptive risk alerts are generated for a specific land parcel."
Disclaimer: Curated by HT Syndication.
