MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521118829 A) filed by Parul University (Parul Institute Of Engineering And Technology); Shah Nirmit Girishbhai; Maulesh Hiteshbhai Parikh; Dr Desai Vinod Laljibhai; and Dr Priya Swaminarayan (Parul Institute Of Computer Application), Vadodara, Gujarat, on Nov. 28, 2025, for 'nutrisense a system and method for ai-based real-time fruit decay, nutrition monitoring, and early anthracnose detection in refrigerated storage units.'
Inventor(s) include Shah Nirmit Girishbhai; Maulesh Hiteshbhai Parikh; Dr Desai Vinod Laljibhai; and Dr Priya Swaminarayan.
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 invention relates to a system and method for monitoring refrigerated storage environments using artificial intelligence, specifically aimed at early detection of anthracnose infection and nutritional degradation in produce. An embedded computing unit executes an AI-based software module that processes real-time data obtained from a high-definition/spectral imaging module and sensor modules, which capture visual, environmental, and biochemical data. The system further includes a communication module that transmits analysis results and predictive shelf-life estimations to an external user interface, ensuring synchronous data acquisition and real-time processing. By integrating advanced computer vision algorithms based on a convolutional neural network derived from YOLO, the system efficiently pre-processes visual data to detect subtle morphological changes, thereby enhancing produce safety and quality monitoring in refrigerated storage environments."
Disclaimer: Curated by HT Syndication.
