LCAT: A Lightweight Color-Aware Transformer With Hierarchical Attention for Leaf Disease Classification in Precision Agriculture
Leaf disease classification plays a critical role in ensuring healthy crop production and preventing agricultural losses. This research proposes a novel deep learning-based method for classifying leaf diseases using a dataset of 21,733 images across six distinct disease categories. We introduce the...
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| Main Authors: | Parkpoom Chaisiriprasert, Khachonkit Chuiad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11086594/ |
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