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A New Method for Estimating Wheat Powdery Mildew Severity Using Features Extracted from Wavelet-Transformed Spectrograms
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DOI：10.1016/j.eng.2026.04.022.png)
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Abstract
En 中文
• The spectral response of wheat powdery mildew (WPM) detection was analyzed. • Two-dimensional spectrograms were constructed to extract effective features. • The performances of three types of features in detecting WPM were compared. • The extensibility of the proposed WPM severity estimation model was confirmed.
Keywords:
Wheat powdery mildew
Spectroscopy
Continuous wavelet transform
Random forest
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