MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017935 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Feb. 1, for 'a connectivity-adaptive hybrid online-offline artificial intelligence based agricultural advisory system.'
Inventor(s) include Dr. Parthasarathy G; Adapa Sai Venkata Teja; Alle Hithesh; and Bandari Rohith.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a hybrid online-offline artificial intelligence based agricultural advisory system (100) configured to provide context-aware crop recommendations and plant disease advisory under varying network conditions. The system comprises a multimodal input module (200) for receiving user queries in text (202), voice (201), or image (203) formats, an intent classification module (209), and a connectivity detection module (302). An online retrieval module (303) accesses live government APIs (111) and GIS / weather data (112), while an offline semantic retrieval module (306) includes a tier 1 local cache (307) and a tier 2 vector database (309). A switching controller dynamically routes queries based on network availability. A response generator (108) produces advisory output ensuring continuity of service under intermittent or absent connectivity. The system may further include a disease detection module (500) for image-based crop diagnosis and treatment plan generation (517)."
Disclaimer: Curated by HT Syndication.
