Intellectual Property India Publishes Patent Application for System And Method For Lightweight Deep Learning-Based Detection And Classification Of Wheat Leaf Diseases Using An Attention-Enhanced Mobilenetv2 Architecture

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110895 A) filed by Greater Noida Institute Of Technology on September 16, 2026, for System And Method For Lightweight Deep Learning-Based Detection And Classification Of Wheat Leaf Diseases Using An Attention-Enhanced Mobilenetv2 Architecture.

Inventors include Isteyaque Alam; Pranshu Yadav; Pawan Kumar Hansda; Mohd Zafar; Imran Ansari; Arjun Singh; and Asif Khan.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: A wheat leaf disease detection and classification system (200) and method are disclosed, comprising an image acquisition module (210), a preprocessing module (220), and an augmentation...