A Hybrid Approach for the Detection and Classification of Tomato Leaf Diseases

A Hybrid Approach for the Detection and Classification of Tomato Leaf Diseases

In this paper, we proposed a hybrid deep learning approach for detecting and classifying tomato plant leaf diseases early. This hybrid system is a combination of a convolutional neural network (CNN), convolutional attention module (CBAM), and support vector machines (SVM). Initially, the proposed mo...

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Bibliographic Details
Main Authors: Maha Altalak, Mohammad Ammad Uddin, Amal Alajmi, Alwaseemah Rizg
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
plant disease
smart agriculture
deep learning
machine learning
CNN
SVM
Online Access:https://www.mdpi.com/2076-3417/12/16/8182

Internet

https://www.mdpi.com/2076-3417/12/16/8182

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