Automated detection and identification of white-backed planthoppers in paddy fields using image processing

YAO Qing; CHEN Guo-te; WANG Zheng; ZHANG Chao; YANG Bao-jun; TANG Jian

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Automated detection and identification of white-backed planthoppers in paddy fields using image processing

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A survey of the population densities of rice planthoppers is important for forecasting decisions and efficient control. Traditional manual surveying of rice planthoppers is time-consuming, fatiguing, and subjective. A new three-layer detection method was proposed to detect and identify white-backed planthoppers (WBPHs, Sogatella furcifera (Horváth)) and their developmental stages using image processing. In the first two detection layers, we used an AdaBoost classifier that was trained on a histogram of oriented gradient (HOG) features and a support vector machine (SVM) classifier that was trained on Gabor and Local Binary Pattern (LBP) features to detect WBPHs and remove impurities. We achieved a detection rate of 85.6% and a false detection rate of 10.2%. In the third detection layer, a SVM classifier that was trained on the HOG features was used to identify the different developmental stages of the WBPHs, and we achieved an identification rate of 73.1%, a false identification rate of 23.3%, and a 5.6% false detection rate for the images without WBPHs. The proposed three-layer detection method is feasible and effective for the identification of different developmental stages of planthoppers on rice plants in paddy fields.

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《农业科学学报（英文版）》 |2017年第7期|1547-1557|共11页
作者
YAO Qing; CHEN Guo-te; WANG Zheng; ZHANG Chao; YANG Bao-jun; TANG Jian;
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School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, P.R.China;

School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, P.R.China;

School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, P.R.China;

School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, P.R.China;

State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, P.R.China;

State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, P.R.China;

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Automated detection and identification of white-backed planthoppers in paddy fields using image processing

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