Vision-Based Leaf Disease Detection Using an Improved ShuffleNet Architecture

In the agricultural sector, accurate and efficient plant disease detection is essential for ensuring food security, minimizing economic losses, and reducing the environmental impact of excessive pesticide use. Traditional models such as Bag of Features (BoF), DenseNet-201, ResNet-50, and ShuffleNet...

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Bibliographic Details

Main Author:	Chyntia Jaby, Entuni
Format:	Thesis
Language:	en en en
Published:	UNIMAS 2026
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/51543/7/Chyntia%20Jaby%20Anak%20Entuni_PhD%20Thesis.pdf http://ir.unimas.my/id/eprint/51543/8/Chyntia%20Jaby_PhD%20Thesis%20_24%20pages.pdf http://ir.unimas.my/id/eprint/51543/9/DOW_Chyntia%20Jaby%20Anak%20Entuni.pdf http://ir.unimas.my/id/eprint/51543/
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