Hongjun Niu
ABSTRACT
In view of the current situation that the traditional prediction of leaf disease information during the growth of citrus has low accuracy and complicated prediction methods, this paper proposes a citrus leaf disease and pest prediction method based on a combination of image processing and SVM (Support Vector Machine). First, the morphological characteristics of diseased leaves were obtained by extracting hyperspectral images of citrus leaves. Combining the data of normal and diseased citrus leaves over the years, the extracted texture features were set and classified, and scientific and effective predictions were made by building a dynamic prediction model. Finally, the prediction results are obtained. Experimental results show that the prediction accuracy of this model achieves relatively ideal results.
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