Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (10): 187-193.doi: 10.11924/j.issn.1000-6850.casb15010089

Special Issue: 植物保护

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Machine Recognition of Diseases and Insect Pests on Citrus Fruits Using Complexity Measurement

Wen Zhiyuan1, Cao Leping2   

  1. (1College of Science, Hunan Agricultural University, Changsha 410128;2Department of Research, Hunan Biological and Electromechanical Polytechnic, Changsha 410127)
  • Received:2015-01-14 Revised:2015-03-06 Accepted:2015-02-12 Online:2015-05-05 Published:2015-05-05

Abstract: To automatically recognize citrus diseases and insect pests, the ideas of complexity measurement expression and diseases and insect pests’ identification of citrus diseases and insect pests’ damage pattern features were researched. Firstly, citrus diseases and insect pests damage pattern main hue range [0,120°] was equally divided for the length of 1° to form 120° hue subinterval; secondly, pixel spread density of all hue subinterval was counted up to make as a structural sequence of citrus diseases and insect pests damage pattern complexity measurement; and then diseases and insect pests damage pattern statistical complexity measurement was calculated according to this structural sequence to make as diseases and insect pests damage character; finally a three-layer feedforward neural network citrus diseases and insect pests identification model was established to identify citrus pests and diseases in the situation that Shannon information entropy and statistical complexity measurement was regarded as input variables. Each 30 of Pezothrips Kellyanuses, Chrysomphalus aonidums, Phomopsis citri Pawcetts, and Parlatoria Pergandi Comstocks were tested as specimens, the minimum correct recognition rate, the highest recognition rate and the average correct recognition rates were 93.3%, 96.7% and 95%. The results shows that citrus diseases and insect pests damage pattern complexity measurement can fully express the typical characteristics of citrus pests and diseases, thus can be used as citrus diseases and insect pests identification.