MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641052485 A) filed by Hindusthan College Of Engineering And Technology on April 24, 2026, for Ai Powered Recommendation System And Plant Disease Detection For Urban Gardening.
Inventors include Praveen Kumar R; Anand B; Bharath; Devananth Thayalan; and Karthi G.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT Traditionally, plant disease detection has involved manual inspection by farmers and agriculture experts based on visual symptoms which is prone to subjectivity, delays & cost implications with limited scalability. Particularly in developing rural regions, the lack of timely access to professional diagnosis has led to significant crop loss and reduced yield for smallholder fanners. Cun-ent. digital solutions rely on expensive sensors or need expert intervention, leaving them out of reach for resource-strapped communities. The system proposed in this paper responds to these challenges through an integrated mobile application and Al-powered backend analysis framework that facilitates objective, reproducible, and scalable detection of plant diseases on commodity smartphone hardware. The system consists of a mobile application written in React Native, an image analysis engine developed in Python using CNNs and OpenCV for processing leaf images, and cloud-hosted PostgreSQL database serving the application with Row Level Security. Farmers take a photo of the leaves of plants from smartphone camera The backend processes the uploaded image to extract visual features, classify disease categories, and generate actionable recommendations. Beyond detection, the platform integrates a recommendation subsystem that leverages historical data, environmental conditions, and crop type to suggest fertilizers, pesticides, and cultivation practices. A gamification layer encourages farmer engagement by awarding points for regular monitoring, disease reporting, and sustainable practices. This innovation democratizes access to Al- driven plant healtli monitoring, empowering farmers with actionable insights for improved yield and resilience
Disclaimer: Curated by HT Syndication.
