MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124186 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Dec. 9, 2025, for 'ai-powered crop health monitoring and smart irrigation system with self-learning microclimate prediction module.'
Inventor(s) include Anusha S B; Sree Aishwarya G; Varshni N; and Dr. Naveenbalaji Gowthaman.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses Krishimitra, an AI-powered crop health monitoring and smart irrigation system that integrates canopy imaging, soil-climate sensing, machine-learning analytics, and automated irrigation control into a low-cost edge-computing platform. The system computes NDVI from USB-camera images and employs a lightweight convolutional neural network to detect early-stage crop stress, nutrient deficiencies, and disease symptoms. Soil moisture, pH, temperature, and NPK values are continuously measured and fused with NDVI and CNN outputs through a dynamic weighted data-fusion model to generate a composite stress index. Irrigation depth is determined using a calibrated NDVI-deficit equation and executed through automated valve actuation. A novel Self-Learning Microclimate Prediction Module forecasts short-term microclimate variables including temperature, humidity, evapotranspiration, and moisture drift up to 48 hours in advance, enabling proactive irrigation scheduling. A local dashboard provides real-time visualizations, alerts, and manual control, ensuring reliable, offline-capable precision agriculture for smallholder farms."
Disclaimer: Curated by HT Syndication.
