MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641100701 A) filed by Jeppiaar Institute Of Technology on August 20, 2026, for Integrated Ai And Blockchain Framework For Transparent Agricultural Supply Chain With Ai- Assisted Li.

Inventors include Boobesh M P; Tharunkumar K; Dr. D. Paulraj; Akshayanithi B; Cedricalban L S; Danish K; Feeban J; Anto Vijin M; Ajai Hariharan B; and Dhineshkumar M.

The application for the patent was published on September 11, 2026, under issue no. 37/2026.

Abstract: ABSTRACT OF THE INVENTION (to be given along with complete specification on separate page) Agriculture involves many people such as farmers, buyers, traders, transporters and sellers. One of the main problems in this process is that farmers may not get a fair price for their crops, while buyers may not always know the actual quality of the product. Quality checking is also mostly done manually, which can take time and may sometimes lead to disagreements between farmers and buyers. To solve these problems, we propose an agricultural supply-chain system that combines Artificial Intelligence and Blockchain. The system mainly consists of four important features: Al Negotiation Agent, Live Al Quality Verification, Digital Crop Certificate and Smart Al Auction. The Live Al Quality Verification feature checks the crop using images or live video and identifies basic quality factors such as freshness, size, colour, ripeness and visible damage. After checking the crop, the system creates a Digital Crop Certificate containing the crop details and quality result. Important certificate information is stored on the blockchain so that it can be verified later and cannot be easily changed. The AT Negotiation Agent helps farmers and buyers negotiate a suitable price by considering crop quality, current market price, demand and previous prices. If the farmer does not want direct negotiation, the crop can be placed in the Smart AT Auction, where multiple buyers can place bids. The auction system uses the available crop and market information to help determine a suitable final price. The main idea of the project is to connect quality verification, digital certification, secure records and intelligent trading in one system. This can make agricultural trading more transparent, reduce quality-related disputes and help farmers and buyers make better decisions

Disclaimer: Curated by HT Syndication.