›› 2019, Vol. 31 ›› Issue (9): 1516-1522.DOI: 10.3969/j.issn.1004-1524.2019.09.16

• Plant Protection • Previous Articles     Next Articles

Research on automatic identification and counting of insect pests on sticky board

BAO Xiaomin, SHENG Jiawen   

  1. School of Information Science and Technology, Zhejiang SCI-Tech University,Hangzhou 310016, China
  • Received:2019-04-08 Online:2019-09-25 Published:2019-10-11

Abstract: In order to solve the arduous and inaccurate problem of manual counting of insect pests in yellow sticky board, based on the adaptive removal of the sticky board background and fusion of color space moments and image geometry, the quantification of pest characteristics were realized, and identification was carried out by weighted decision. Thus, an automatic identification and counting system was constructed. Taking Corcyra cephalonica on yellow sticky board as test materials, it was shown that the relative error between the results of the proposed system and manual counting on sticky board was less than 7%, indicating the feasibility of the proposed system.

Key words: sticky board, machine vision, automatic monitoring, plant protection

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