MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133280 A) filed by Nandeti Mahaveer Singh; and Koneru Lakshmaiah Education Foundation, Vijayawada, Andhra Pradesh, on Dec. 30, 2025, for 'ensemble-based multi-class system for plant disease detection.'
Inventor(s) include M. Nagageetha; and Dr. N. V. K Ramesh.
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 present invention relates to an ensemble-based system for multi-class detection and classification of plant diseases from leaf images. The system captures images of plant leaves and performs preprocessing including normalization, resizing, and noise reduction. Diseased regions are identified through a segmentation module using feature-based or deep learning methods. Relevant features are extracted and selected using an ensemble of feature selection techniques. A multi-class classification module, employing an ensemble of classifiers, classifies the images into disease or non-disease categories with high accuracy. The system further provides visualization of diseased regions, supports heterogeneous image conditions, and incorporates explainable AI techniques to highlight features influencing classification. The invention enables robust, real-time, and accurate detection of multiple plant diseases, facilitating improved crop management and decision-making."
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