MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641127012 A) filed by Centre Of Excellence On Watershed Management, University Of Agricultural Sciences, Gandhi Krishi Vigyana Kendra; and Dayananda Sagar College Of Engineering on October 25, 2026, for Ai-Based Multilingual Voice-Interactive Farming Robot And Method For Personalized Lri Card- Crop-Fertilizer Advisory.
Inventors include Dr. N. B. Prakash; Dr. Mudalagiriyappa; Dr. Nagaraja N; Dr. G. S. Dasog; Dr. Pruthviraj N; Dr. Divyashree K. S; N Venkat Swaroop; Sujith M S; Aprameya Bharadwaj; C V Balaji; Dr. Suma V; Dr. Shobha N; Paivulla Nikhil; and Arnav S. Rao.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention relates to a multilingual voice interactive farming assistant robot and a method for providing personalised agricultural advisory to farmers. The robot consists of a main processing unit connected to a camera, microphone, speaker and an information display, and a peripheral microcontroller controlling the robot locomotion wheels, servo-actuated head and arms, LED eye-ring, ultrasonic sensor, temperature-humidity sensor and OLED display through a bidirectional serial link. The main processing unit has an agentic artificial intelligence engine that interprets spoken queries in Kannada, English, Hindi or Telugu, autonomously selects from a plurality of software tools and responds with synthesised speech in the same language while presenting the information visually. The robot takes a picture of the farmer’s soil report card (like a Government-issued LRI Card or a GPS-based Land Resource Inventory (LRI) card) through the camera, pulls out the soil parameters using a vision-language model, creates a long-term farmer profile and computes crop-specific fertiliser recommendations by modifying the recommended doses according to the measured soil fertility levels. Further, the robot diagnoses the crop diseases from the plant images captured through the camera and communicates the disease identity, cause and treatment by speech and on the display. The invention thus allows illiterate and semi-literate smallholder farmers to access personalised, scientific crop, fertiliser, disease-management, market-price and weather advisory in their local language without the need for typing or reading.
Disclaimer: Curated by HT Syndication.
