FCA-ResNet : An Improved Model with Enhanced Multi-Scale Feature Fusion and Coordinate Attention for Wheat Leaf Disease Classification

Rapid and accurate identification of leaf disease is essential in intelligent agriculture. Current methods often struggle with balancing precision and speed. This research introduces the fusion coordinate attention and residual network (FCA-ResNet) model to improve classification accuracy while ma...

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Bibliographic Details

Main Authors:	Hongyan, Zang, Annie, Joseph, Shourong, Zhang, Haiyan, Fu, Lili, Huang, Zhen, Huang
Format:	Article
Language:	en
Published:	International Journal of Engineering and Technology Innovation (IJETI) 2025
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://ir.unimas.my/id/eprint/48172/1/FCA-ResNet.pdf http://ir.unimas.my/id/eprint/48172/ https://ojs.imeti.org/index.php/IJETI/article/view/14304 https://doi.org/10.46604/ijeti.2024.14304
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