Name : Muzafar Rasool Bhat
Phone : +91 8825069068
Email : muzafar.rasool@islamicuniversity.edu.in
University : Islamic University of Science and Technology - Awantipora
Department : Science and Technology
Patent No : 202211016238
Innovation No : 365920
Dated : 05-10-2023
Type : Innovation
A system to detect the plant disease and analyze the treatment process in accordance with the detected disease. The present system incorporate deep neural network model to detect the kind of plant disease more specifically in apple trees. The system further analyze the treatment process by considering location, date and time parameters thereby resulting in most accurate diagnosis and treatment recommendation to the harvesters. The visual symptoms of diseases inflicting apple trees are identified by the present system to predict the relevant class of disease. Four diseases viz. Black Rot, Scab and Rust and Altemaria are targeted and these are some of the prevalent diseases responsible for Apple yield reduction
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The Department of Science and Technology focuses on utilising New and Renewable Energy Sources, especially in underserved areas like un-electrified villages. It also uses Science and Technology to drive socio-economic change. It consists of two key wings: J&K Energy Development Agency (JAKEDA) and J&K Science, Technology and Innovation Council, working collaboratively to promote progress, innovation, and sustainable development for a brighter future.
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