MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112989 A) filed by Hindusthan College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Nov. 18, 2025, for 'agrishield: ai-powered crop disease detection and recommendation system.'
Inventor(s) include S. Uma; Dr. S. Shankar; and Priya Darshini S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The invention titled "AgriShield: Al-Powered Crop Disease Detection and Recommendation System" solves the urgent need for prompt and precise leaf disease identification across a variety of crops grown in India. Significant output losses result from farmers' inability, to identify illnesses in their early stages, particularly when managing a variety of crops. Current single-crop diagnostic systems are insufficient, do not offer practical advice in local languages, and are not real-time. In order to categorize leaf images of crops such as paddy, cotton, tomato, brinjal, sugarcane, banana, chile, maize, and other regionally significant crops, this system makes use of a deep learning-based multi-class CNN model that was trained using transfer learning architectures like EfficientNet and ResNet-50. After detection, it uses web and mobile platforms to provide tailored treatment recommendations in the farmer's preferred language. The invention reduces crop losses, increases agricultural productivity, and offers a unified, scalable, and user-friendly solution for managing crop health throughout India by fusing multilingual support, Al-driven disease diagnosis, and cross-platform accessibility."
Disclaimer: Curated by HT Syndication.
