Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings

Loblolly pine is an economically important timber species in the United States, with almost 1 billion seedlings produced annually. The most significant disease affecting this species is fusiform rust, caused by <i>Cronartium quercuum</i> f. sp. <i>fusiforme</i>. Testing for d...

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Bibliographic Details
Main Authors: Piyush Pandey, Kitt G. Payn, Yuzhen Lu, Austin J. Heine, Trevor D. Walker, Juan J. Acosta, Sierra Young
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
plant imaging
computer vision
forestry
disease discrimination
hyperspectral imaging
plant phenotyping
Online Access:https://www.mdpi.com/2072-4292/13/18/3595

Internet

https://www.mdpi.com/2072-4292/13/18/3595

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