MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611040963 A) filed by Galgotias University on March 31, 2026, for A Sensor-Free Computer-Implemented Method And System For Irrigation Decision Optimization Using Remote Sensing And Probabilistic Rainfall Forecasting.
Inventors include Anand; and Himanshi.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses a sensor-free computer-implemented method and system for optimizing irrigation decisions using remote sensing data and probabilistic rainfall forecasting. The system computes a virtual soil moisture index based on satellite-derived indicators, weather data, and soil characteristics, and evaluates short-term rainfall probabilities to determine the likelihood of future precipitation. An irrigation regret score is calculated by integrating soil moisture status, rainfall forecasts, crop growth stage sensitivity, and economic cost factors. Based on this score, the system generates actionable irrigation advisories indicating whether to irrigate, defer, or monitor conditions, along with estimated economic impact. The system further includes confidence estimation, adaptive calibration, and robust operation under varying data availability, enabling cost-effective and scalable irrigation decision support without the need for in-field sensors.
Disclaimer: Curated by HT Syndication.
