Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening

Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening

Diseases caused by invasive pathogens are an increasing threat to forest health, and early and accurate disease detection is essential for timely and precision forest management. The recent technological advancements in spectral imaging and artificial intelligence have opened up new possibilities fo...

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Bibliographic Details
Main Authors: Xing Wei, Jinnuo Zhang, Anna O. Conrad, Charles E. Flower, Cornelia C. Pinchot, Nancy Hayes-Plazolles, Ziling Chen, Zhihang Song, Songlin Fei, Jian Jin
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-12-01
Series:Artificial Intelligence in Agriculture
Subjects:
American elm
Dutch elm disease
Hyperspectral imaging
Multispectral imaging
Support vector machine
Convolution neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721723000405

Internet

http://www.sciencedirect.com/science/article/pii/S2589721723000405

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