MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631042702 A) filed by Jis University, Kolkata, West Bengal, on April 2, for 'system and method for pre-emptive food adulteration prediction utilizing multi-modal federated learning and decentralized hyper-spectral oracles.'
Inventor(s) include Avinash Rai; Somdatta Mukherjee; and Dr. Aparup Pakhira.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A system and method for predicting food adulteration are disclosed, utilizing a Bayesian network integrated with a federated learning framework and hyper-spectral imaging. The invention processes multi-modal data including chemical fingerprints, IoT olfactory signals, and supply chain logistics at decentralized edge nodes. By employing federated learning, the system optimizes global prediction accuracy while preserving local data privacy. A generative adversarial module is utilized to simulate and train the network against hypothetical adulteration scenarios. Furthermore, the system incorporates a blockchain-based oracle that triggers automated smart contracts for the sequestration of high-risk batches. This multi-layered approach enables proactive, molecular-level detection and automated enforcement across a globalized food supply chain, significantly improving upon traditional reactive and centralized testing methods."
Disclaimer: Curated by HT Syndication.
