MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113781 A) filed by Chandigarh University on September 23, 2026, for Metabolic Decay Prediction System Using Gas Based Sensing And Temporal Machine Learning.
Inventors include Shaman Sharma; and Anurag Prajapati.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A technical system for predicting metabolic decay of perishable agricultural produce combines image acquisition, digital batch identity generation, gas and environmental sensing, temporal data processing and machine learning. An image-derived quality indication is associated with a batch identifier and with successive measurements of ethylene, carbon dioxide, temperature and humidity. The measurements are preprocessed and transformed into temporal features including gas growth or slope information, environmental variation and the image-derived quality indication. A Temporal Convolutional Network processes the feature sequence to estimate Shelf-Life Remaining and classify the batch into low-, medium- or high-risk states. Alerts and handling recommendations are generated from the predicted condition, while post-delivery outcomes, spoilage information, user feedback and operational performance are used for model retraining and system optimization
Disclaimer: Curated by HT Syndication.
