ACTA AGRICULTURAE BOREALI-SINICA ›› 2008, Vol. 23 ›› Issue (S2): 373-376. doi: 10.7668/hbnxb.2008.S2.085

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Application of BP Neural Network to Predict Occurrence Degree of Myzus persicae

REN Guang-wei1, WANG Xiu-fang1, WANG Xin-wei1, LI Xiao2, ZHANG Jian-dang3, LIANG Qi-tao3   

  1. 1. Tobacco Institute, Chinese Academy of Agricultural Sciences, Qingdao 266101, China;
    2. Technology Center, Shandong Tobacco Industry Corporation, Jinan 250013, China;
    3. Ankang Tobacco Company, Ankang 725000, China
  • Received:2008-08-11 Published:2008-12-31

Abstract: Basing on the data of 12 years, the method of BP neural network was applied to establish the predictionmodel of Myzus persicae occurrence for its prediction and forecast in tobacco field.The model exhibited prediction accura??cy of 99.43%, and back prediction accuracy of 87.36%, respectively.The prediction model could predict the occcurencedegree of Myzus persicae more than one month in advance, so the middle??term prediction model could be applied in IPMof Myzus persicae in tobacco field.

Key words: Myzus persicae, Occurrence degree, BP neural network, Prediction model

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Cite this article

REN Guang-wei, WANG Xiu-fang, WANG Xin-wei, LI Xiao, ZHANG Jian-dang, LIANG Qi-tao. Application of BP Neural Network to Predict Occurrence Degree of Myzus persicae[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2008, 23(S2): 373-376. doi: 10.7668/hbnxb.2008.S2.085.

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