MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009237 A) filed by R. M. K. Engineering College, Chennai, Tamil Nadu, on Jan. 29, for 'image processing based early detection and classification of paddy leaf diseases.'
Inventor(s) include Dr. V. Vidya Lakshmi; Pulagam Kundana Sree; Thottambedu Malleswari; Niranchana B; Priyanka P; and Rakshini Balasubraman Rakshini Balasubraman.
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: "Early detection of paddy leaf diseases is crucial for improving rice crop yield and reducing economic losses faced by farmers. Traditional disease identification methods rely heavily on expert knowledge and manual inspection, which can be time-consuming, subjective, and inaccurate during early stages of plant development. This study focuses on the automated classification of paddy leaf diseases using image processing and machine learning techniques. Pre-processing operations such as noise removal and image enhancement are applied to improve image quality. Feature extraction techniques are then used to obtain relevant color, texture, and shape features from the processed images. These extracted features are provided as input to various classifiers to accurately identify and categorize paddy leaf diseases. Classifier cascade techniques are employed to enhance classification accuracy and robustness. Additionally, a genetic algorithm combined with the nearest neighbor approach is implemented to optimize disease detection performance. The proposed approach reduces dependency on farmers' manual judgment and supports timely disease management, contributing to sustainable rice production and improved agricultural decision-making."
Disclaimer: Curated by HT Syndication.
