MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641025523 A) filed by Canara Engineering College, Mangaluru, Karnataka, on March 4, for 'a system and method for monitoring dryness of arecanuts using deep learning.'
Inventor(s) include Supriya A V; Deepak D; Srisha; Ranjith Kumar; Shravya J S; Basappa B Kodada; Siju V Soman; Sujatha M; and Nagesh H R.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses a system and method for accurately monitoring the dryness of arecanuts using deep learning. The system automates the assessment of arecanut moisture content, replacing traditional manual inspection. It acquires visual data of arecanuts under controlled conditions, which is then preprocessed to ensure quality and consistency. A deep learning model is trained on this data to extract visual features and classify arecanuts into predefined dryness categories. The trained model performs real-time inference, detecting and classifying arecanuts with high accuracy. The results are presented through a user-friendly web interface, providing objective and consistent classification crucial for post-harvest decision-making and enhancing product market value."
Disclaimer: Curated by HT Syndication.
