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Image-Based Disease Detection and Classification of Plant Using CNN

Publication Type : Journal Article

Publisher : Springer

Source : Mobile Radio Communications and 5G Network

Url :

Campus : Amaravati

School : School of Computing

Year : 2023

Abstract : Image-based detection and classification using CNN, its aim to detecting and classification of the plant diseases. Farmers are the back bone of the nation to help them, we present these plant disease detection. Nowadays, many of the farmers are facing these plant diseases for their crops and paddies, and it is the crucial issue to be addressed in the world. In order to detect the plant leaf disease, we address the present prospects and issues. Plant diseases are one of the most serious threats to food safety. Some plant diseases are infectious diseases and parasites that can spread throughout the entire field, affecting the almost all of the yields. It is not only the process of contextual but it is also time-consuming, labor intensive, and un-reliable. Some farmers were use the pesticides for the crops with far less experience. Food insecurity will worsen if plant diseases are not discovered in time. To tackle these issues, researchers are investigating the use of image processing techniques for plant disease recognition.

Cite this Research Publication : Madhusudhana Rao Dontha ,Nalagatla Sri Supriyanka , Image-Based Disease Detection and Classification of Plant Using CNN, Mobile Radio Communications and 5G Network, 2023.

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