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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| Format: | Thesis |
| Language: | en en en |
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UNIMAS
2026
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| 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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