MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043820 A) filed by KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on April 6, for 'intelligent farming advisory platform for crop prediction using machine learning and environmental data.'
Inventor(s) include Dr. Deevi Harikrishna; Mr. Sk. Ghansaida; Mr. Sk. Yasin; Mr. Sk. Nagoor Jani Basha; and Mr. Sk. Mohammad Aman Ali.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent agricultural advisory system that integrates machine learning, conversational interfaces, and secure cloud infrastructure to provide personalized farming recommendations. The system comprises a web-based user interface developed using modern frontend frameworks, a serverless backend architecture, and a secure relational database with row-level security for multi-user data isolation. A machine learning module based on a Random Forest classifier is trained on agricultural datasets containing soil nutrient parameters and climatic conditions to predict suitable crops. The trained model is deployed through a lightweight API service that processes soil type and environmental inputs and returns crop recommendations in real time. The system further integrates a conversational chatbot interface to allow farmers to interact with the platform and receive advisory services such as crop suggestions, weather updates, market prices, and government scheme information. The proposed invention improves accessibility, scalability, and decision-making support in smart agriculture systems."
Disclaimer: Curated by HT Syndication.
