MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202531134407 A) filed by Mr. Bibhudutta Subhasish; Dr. Vikas Kumar; Dr. Ritesh Kumar; Rita Godfrey Fredericks; Seema; Himanshu Arora; Dr Navdeep Singh; and Akshit Gandhi, Bhubaneswar, Odisha, on Dec. 31, 2025, for 'ai-based system for leaf disease recognition and treatment suggestion.'
Inventor(s) include Mr. Bibhudutta Subhasish; Dr. Vikas Kumar; Dr. Ritesh Kumar; Rita Godfrey Fredericks; Seema; Himanshu Arora; Dr Navdeep Singh; and Akshit Gandhi.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence-based system for automated plant disease detection and treatment recommendation. The system comprises an image acquisition module that receives digital leaf images from user devices, an image preprocessing module performing background segmentation and color normalization, a deep learning classification module implementing convolutional neural networks trained on extensive plant disease datasets to identify diseases with high accuracy and generate confidence scores, a treatment recommendation engine that analyzes identified diseases along with contextual parameters to generate customized treatment protocols accessing a comprehensive database of chemical, organic, and cultural management solutions, and a user interface module providing multi-platform accessibility through mobile applications, web interfaces, and desktop systems. The system enables early disease detection, provides actionable treatment guidance, maintains historical records for personalized recommendations, and incorporates feedback mechanisms for continuous improvement, thereby reducing crop losses and enhancing agricultural productivity through timely and accurate disease management interventions accessible to farmers regardless of technical expertise."
Disclaimer: Curated by HT Syndication.
