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Improving Cotton Leaf Disease Classification Using a Parameter-Efficient Deep Learning Framework

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种创新的深度学习框架，有效提升了棉花作物叶病识别的准确性，七种病害分类准确率达到98.42%，促进了棉花种植的可持续发展。

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