A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases

A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases

An early detection of tomato leaf diseases is crucial for ensuring high-quality and abundant crop production. There is a growing need for an Android application that can identify these diseases and alert farmers to take timely and effective measures, thereby reducing crop yield losses. While deep le...

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Bibliographic Details
Main Authors: Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
CNN
tomato leaf diseases detection system
MobileNetv3
ECA
IRB
android app
Online Access:https://ieeexplore.ieee.org/document/10921634/
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