MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115803 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'ai-based system for direct farmer-to-market access and real-time market intelligence and working method thereof.'
Inventor(s) include Ayush Gupta; Arpita Asthana; Divya Pratap; Himanshi Pal; Dhanshri Parihar; and Ashish Kumar.
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 discloses an AI-based system enabling direct farmer-to-market trade comprising: a user device layer to capture sensor-driven crop information and securely transmit data; an application processing layer executing machine-learning engines for price prediction, demand forecasting, and selling recommendations; a cloud database layer storing structured and unstructured market, user, and climatic datasets; integration modules for logistics and weather to compute optimal routes and spoilage-risk alerts; a buyer interface layer exposing real-time listings, predicted prices, demand indicators, and negotiation workflows; and an administrative monitoring layer for auditing, anomaly detection, and operational oversight; wherein the engines jointly process crop, weather, historical market, and buyer activity data to generate real-time market intelligence for adaptive matching and negotiation between farmers and buyers, with optional multilingual speech-to-text ingestion and containerized, event-driven microservices enabling uninterrupted updates and synchronized buyer-farmer access to current intelligence."
Disclaimer: Curated by HT Syndication.
