MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134557 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology, Hyderabad, Telangana, on Dec. 31, 2025, for 'multilingual conversational ai ecosystem for inclusive, data-grounded agricultural education and decision assistance.'
Inventor(s) include Dr. Thayyaba Khatoon; Dr. D. Manju; Dr. Dvasundhara; Hemanya Sai Linga; Kota Aakanksha; and Anirudh Morishetty.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven agricultural intelligence ecosystem (100) designed to provide intelligent, adaptive, and explainable decision support for agricultural activities. The system includes a multimodal data acquisition module (101) configured to receive and preprocess diverse agricultural inputs such as crop images, text and voice-based farmer inputs, IoT sensor readings, digitized farm records, drone-acquired imagery, and market-related data. A network of IoT sensors (102) generates real-time soil, environmental, and climatic parameters and transmits the data to an Agricultural Knowledge Base (103). The knowledge base stores, indexes, and fuses multimodal and sensor-derived data into a unified digital framework using spatiotemporal and contextual indexing techniques. An intelligent analytical engine (104), comprising coordinated AI agents, performs crop diagnosis, context-aware agronomic analysis, document digitization, spatiotemporal modeling, and market analytics. A reasoning and feedback engine (105) integrates analytical outputs, enables adaptive learning using field data and user feedback, and produces explainable recommendations. A user interaction interface (106) supports multilingual text and voice-based communication for delivering personalized agricultural insights to farmers and experts."
Disclaimer: Curated by HT Syndication.
