Article

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease

2022-03-01

Abstract excerpt

Traditional target detection methods cannot effectively screen key features, which leads to overfitting and produces a model with a weak generalization ability. In this paper, an improved SE-YOLOv5 network model is proposed for the recognition of tomato virus diseases. Images of tomato diseases in greenhouses were collected using a mobile phone, and the collected images were expanded. A squeeze-and-excitation (SE)...

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Literature Corpus work: 14208130-3111-5c63-87ed-118c8214b2f3
DOI: 10.1016/j.compag.2022.106780

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