Plant Leaf Diseases Detection using Deep Learning and Novel CNN

" 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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15307413
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Plant Leaf Diseases Detection using Deep Learning and Novel CNN

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Plant Leaf Diseases Detection using Deep Learning and Novel CNN

article en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 68%
Smart Agriculture and AI
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