I-GhostNetV3: A Lightweight Deep Learning Framework for Vision-Sensor-Based Rice Leaf Disease Detection in Smart Agriculture

Accurate and timely diagnosis of rice leaf diseases is crucial for smart agriculture leveraging vision sensors. However, existing lightweight convolutional neural networks (CNNs) often struggle in complex field environments, where small lesions, cluttered backgrounds, and varying illumination compli...

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主要な著者:	Puyu Zhang, Rui Li, Yuxuan Liu, Guoxi Sun, Chenglin Wen
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-02-01
シリーズ:	Sensors
主題:	rice disease classification vision sensors I-GhostNetV3 attention mechanisms lightweight convolutional networks smart agriculture
オンライン･アクセス:	https://www.mdpi.com/1424-8220/26/3/1025
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