MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641007474 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Jan. 26, for 'a system and method for real-time agricultural quality and severity assessment.'
Inventor(s) include Dr. Perepi Rajarajeswari; and Sampath Alankritha.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for real-time agricultural quality and severity assessment using image-based analysis. The system (100) receives images of crops or fruits and performs object detection, pixel-level segmentation, hybrid inference, and severity estimation in an integrated processing pipeline. Segmented regions are classified using a hybrid inference module combining classical deep-learning feature extraction with quantum-classical learning, and a severity estimation module computes quantitative severity values based on a proportion of affected pixels. The processing is executed locally at an edge device to enable real-time operation with reduced dependency on cloud resources. Training convergence behaviour (200), segmentation accuracy metrics (300), comparative segmentation results (400), severity estimation outputs (500), interpretability visualizations (600), classification performance (700, 800, 900), and edge and fog execution performance (1000, 1100) demonstrate the effectiveness of the system for objective agricultural quality and severity assessment."
Disclaimer: Curated by HT Syndication.
