MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611026377 A) filed by CT University, Ludhiana, Punjab, on March 6, for 'ai-driven dynamic crop growth prediction system based on real-time weather & soil inputs.'
Inventor(s) include Dr. Satvir Singh; Dr. Nitin Tandon; Dr. Abhilash Thakur; Dr. Ankita Gupta; and Dr. Inderpal Singh.
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 AI-driven dynamic crop growth prediction system comprising a Soil & Environmental Sensing Unit (101), a Meteorological & Remote Data Interface (102), a Data Conditioning & Normalization Module (103), an Adaptive AI Crop Growth Engine (104), an Agronomic Decision Intelligence Module (105), and a User Interaction & Control Interface (106) is disclosed. The system integrates real-time soil moisture, pH, nutrient levels and temperature with meteorological parameters including rainfall, humidity, solar radiation and wind speed to generate adaptive crop growth stage classification, yield estimation and stress indexing. The engine (104) performs crop-specific environmental-interaction modeling with dynamic seasonal retraining triggered by environmental drift detection. Structured predictive outputs are transformed into irrigation scheduling and fertilizer optimization advisories through module (105) and delivered via interface (106). The system enables continuous environmental monitoring and adaptive decision support for precision agriculture."
Disclaimer: Curated by HT Syndication.
