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

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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Bibliographic Details
Main Authors: Alexander J. Bleasdale, J. Duncan Whyatt
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-03-01
Series:Artificial Intelligence in Agriculture
Subjects:
Apple scab
Plant disease classification
Multispectral imaging
Convolutional neural network
Fine-tuning
Early detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721724000357
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