MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611071042 A) filed by Dr. Ashish Tripathi; Dr. Manmohan Singh Yadav; Dheeraj Tandon; Nagendra Kumar Singh; Santosh Kumar; Jtaba Saleem Khan; Sudheer Kumar Singh; and Sanjay Kumar on June 08, 2026, for "an Artificial Intelligence And Convolutional Neural Network Based System For Automated Plant Disease Detection And Classification".
Inventors include Dr. Ashish Tripathi; Dr. Manmohan Singh Yadav; Dheeraj Tandon; Nagendra Kumar Singh; Santosh Kumar; Jtaba Saleem Khan; Sudheer Kumar Singh; and Sanjay Kumar.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an artificial intelligence and Convolutional Neural Network (CNN)-based system for automated plant disease detection and classification. The invention utilizes image acquisition, preprocessing, normalization, feature extraction, and deep learning techniques to identify healthy and diseased plant leaves with high accuracy. The system is trained using a large dataset containing multiple plant species and disease categories to improve prediction reliability and scalability. The proposed invention achieves rapid and real-time disease diagnosis with an average accuracy of approximately 94.65%. The invention reduces manual inspection efforts and supports precision agriculture, smart farming, and sustainable crop management by enabling early disease detection and treatment recommendations. Fig 1 to 2
Disclaimer: Curated by HT Syndication.
