Classification of Citrus Leaf Diseases Using Hyperspectral Reflectance and Fluorescence Imaging and Machine Learning Techniques

Classification of Citrus Leaf Diseases Using Hyperspectral Reflectance and Fluorescence Imaging and Machine Learning Techniques

Citrus diseases are significant threats to citrus groves, causing financial losses through reduced fruit size, blemishes, premature fruit drop, and tree death. The detection of citrus diseases via leaf inspection can improve grove management and mitigation efforts. This study explores the potential...

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Bibliographic Details
Main Authors: Hyun Jung Min, Jianwei Qin, Pappu Kumar Yadav, Quentin Frederick, Thomas Burks, Megan Dewdney, Insuck Baek, Moon Kim
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Horticulturae
Subjects:
hyperspectral imaging
reflectance
fluorescence
machine learning
citrus
leaf
Online Access:https://www.mdpi.com/2311-7524/10/11/1124
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https://www.mdpi.com/2311-7524/10/11/1124

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