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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Bibliografiska uppgifter

Huvudupphov:	Puyu Zhang, Rui Li, Yuxuan Liu, Guoxi Sun, Chenglin Wen
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2026-02-01
Serie:	Sensors
Ämnen:	rice disease classification vision sensors I-GhostNetV3 attention mechanisms lightweight convolutional networks smart agriculture
Länkar:	https://www.mdpi.com/1424-8220/26/3/1025
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