Plant Leaf Diseases Detection using Deep Learning and Novel CNN
Year: 2025
Type: article
Abstract: " Plant Leaf Diseases Detection Using Deep Learning And Novel CNN" Agriculturalproducts are the basic need of every country. Diseased plants have a serious impact on thecountry's agricultural and financial resources. Agricultural productivity is important to theeconomy. Identifying plant diseases in agriculture is important because plant diseasesoccur naturally. Compared to agriculture, all industries are benefiting from latesttechnologies. Previous studies have shown that crop yields have decreased due to increaseddefoliation. This plant disease detection technology can be used to solve this seriousproblem by analyzing diseases in input images. He explains how to use deep learningtechniques to identify and characterize leaf diseases. We use a Convolutional NeuralNetwork (CNN) to obtain accurate estimation and detection of leaf diseases.
Author: CSEIJ
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W6911818014
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