皮孔
生物
作物
农业
深度学习
疾病
农学
人工智能
农业管理
生物技术
园艺
植物病害
珍珠
有机农业
植物
作者
Jiale Lv,Teng Liu,Jian Wu,Wenpeng Zhu,Jialin Yu,Ruofang Zhang,Utpal Handique
摘要
The YOLOv8-ST model enables fast, accurate, and reliable detection of common scab, powdery scab, and enlarged lenticels on potato tubers. This field-deployable solution supports early disease diagnosis and timely intervention, thus reducing crop losses. The model is available through the mobile app Plant Guardian, enabling growers to identify potato skin blemishes directly in the field, thereby advancing both practical disease management and agricultural AI applications. © 2025 Society of Chemical Industry.
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