MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024949 A) filed by Manivannan K; V. S. B. Engineering College; I. Nandhini; Pranesh A; and Pranesh S, Karudayampalayam, Tamil Nadu, on March 3, for 'a digital passport for agricultural products using ai-based quality assessment.'
Inventor(s) include Manivannan K; V. S. B. Engineering; I. Nandhini; Pranesh A; and Pranesh S.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "Agripass is an AI-driven farm to fork traceable system that aims to improve the safety, and integrity of the farm to fork food supply chain. The system provides a secure digital chain for every consignment of produce right from the harvesting stage itself. The farmers are required to provide all the required information of the produce such as type of produce, soil type, pesticide use, date of harvesting, location, and images of the produce through a role-based web interface. An AI-driven module is also integrated into the system to analyze the uploaded image and provide a quality grade (A/B/C) to enable a quick and impartial assessment at the source level itself. After the successful completion of the registration process, the system provides a unique QR code that acts as a digital passport for the produce. As the produce passes from distributors to retailers, each handler scans the QR code and records details about how the items were transported, stored, and handed over. Because of this step-by-step update, the journey of the product stays clear. Buyers can scan the same QR code on their phones to quickly check the product's background, including its main details, movement through the supply chain, and the quality score given by AI. Going forward, Agripass may be upgraded by introducing blockchain to better protect stored records from unauthorized changes. The system could also work with IoT sensors and more refined AI techniques to keep track of product conditions in real time and improve the reliability of quality assessment."
Disclaimer: Curated by HT Syndication.
