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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Váldodahkkit:	Alexander J. Bleasdale, J. Duncan Whyatt
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	KeAi Communications Co., Ltd. 2025-03-01
Ráidu:	Artificial Intelligence in Agriculture
Fáttát:	Apple scab Plant disease classification Multispectral imaging Convolutional neural network Fine-tuning Early detection
Liŋkkat:	http://www.sciencedirect.com/science/article/pii/S2589721724000357
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