Classifying early apple scab infections in multispectral imagery using convolutional neural networks

Multispectral imaging systems combined with deep learning classification models can be cost-effective tools for the early detection of apple scab (Venturia inaequalis) disease in commercial orchards. Near-infrared (NIR) imagery can display apple scab symptoms earlier and at a greater severity than v...

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Autors principals:	Alexander J. Bleasdale, J. Duncan Whyatt
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co., Ltd. 2025-03-01
Col·lecció:	Artificial Intelligence in Agriculture
Matèries:	Apple scab Plant disease classification Multispectral imaging Convolutional neural network Fine-tuning Early detection
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2589721724000357
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