Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging

Computers and Electronics in Agriculture(2023)

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Abstract
•Early detection of citrus anthracnose could be conducted using HSI.•Spectral band images were adaptively segmented by CLAHE and thresholding algorithms.•Feature-level fusion provided complementary spectral information for infected citrus.•Disease detection performance was evaluated using machine learning algorithms.
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Key words
Citrus anthracnose,Early detection,Hyperspectral imaging,Fused spectral features,Machine learning
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