MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541129907 A) filed by Dr. V. Sujatha; U. R. Rhavi; A. Gowrie; M. Thesiyageethan; K. Abi; S. Velmani; E. Vembarasan; S. Tamilvalavan; A. Venkateshwaran; and S. Arunathan, Salem, Tamil Nadu, on Dec. 22, 2025, for 'ai-enabled internal fruit decay detection using terahertz reflection and multispectral learning fusion.'
Inventor(s) include Dr. V. Sujatha; U. R. Rhavi; A. Gowrie; M. Thesiyageethan; K. Abi; S. Velmani; E. Vembarasan; S. Tamilvalavan; A. Venkateshwaran; and S. Arunathan.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Post-harvest losses due to internal fruit decay pose a major challenge to the agricultural supply chain and food safety ecosystem. Conventional fruit inspection methods primarily rely on visual examination or destructive testing, which are ineffective in identifying hidden internal defects such as fungal infection, moisture-induced decay, and tissue degradation. Existing non-destructive techniques lack sufficient accuracy and adaptability across different fruit varieties. The present invention proposes an AI-Enabled Internal Fruit Decay Detection System using Terahertz (THz) Reflection Imaging and Multispectral Learning Fusion. The system employs terahertz waves to penetrate fruit tissue and capture internal structural variations, while multispectral imaging analyzes surface and subsurface biochemical features. Artificial intelligence models fuse terahertz and multispectral features to accurately detect and classify internal decay in real time. The invention ensures non-destructive, rapid, and high-precision fruit quality assessment, enabling improved sorting, reduced wastage, and enhanced food safety."
Disclaimer: Curated by HT Syndication.
