MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641060378 A) filed by Karthika K; Agasthya Harichandran; Diya Radhakrishnan; Mahalakshmi S; Muhasina Muneer V C; Dr. Remya Chandran; Neena V V; and Akhil Kk on May 12, 2026, for A Cnn-Based Weed Identification System For Supporting Precision Weed Control.
Inventors include Karthika K; Agasthya Harichandran; Diya Radhakrishnan; Mahalakshmi S; Muhasina Muneer V C; Dr. Remya Chandran; Neena V V; and Akhil Kk.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Disclosed herein is a CNN-based weed identification system (100) for supporting precision weed control, the system (100) comprises a user interface module (102) configured to enable user registration and secure authentication, receive images of crops or leaves from a user device, and display classification results, and recommended weedicide in a user-friendly format. An image acquisition and pre-processing module (104) configured to pre-process the images. The system also includes a processing module (106) comprising a convolutional neural network (CNN) model. A backend server module (108) configured to manage communication. The system also includes a weedicide recommendation module (110) configured to generate treatment recommendations. A data storage module (112) configured to securely store user data, uploaded images, classification results, and recommended treatments. A security module (114) configured to provide secure access control, encrypted communication, and protection of stored data. A performance and scalability module (116) configured to optimize system responsiveness.
Disclaimer: Curated by HT Syndication.
