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25 May 2023 Research and implementation of tomato disease and insect pest detection method based on improved SVM
Yue Zhou, Ke Jiang
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Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263618 (2023) https://doi.org/10.1117/12.2675141
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In this paper, an improved method was proposed to solve the shortcomings of SVM in the application of tomato disease and insect pest detection algorithm: extracting features of color texture features CCL (CM, CCV, LBP) for fusion, selecting the optimal parameters c and g through 9-fold cross verification, and calculating the OPTIMAL parameters by RBFSVM to obtain the CCL-SVM model. Experimental results show that the improved SVM algorithm improves the accuracy and efficiency of detection.
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Yue Zhou and Ke Jiang "Research and implementation of tomato disease and insect pest detection method based on improved SVM", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263618 (25 May 2023); https://doi.org/10.1117/12.2675141
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KEYWORDS
Diseases and disorders
Data modeling
Feature extraction
Image classification
Detection and tracking algorithms
Support vector machines
Pattern recognition
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