昆虫学报 ›› 2016, Vol. 59 ›› Issue (12): 1376-1385.doi: 10.16380/j.kcxb.2016.12.011

• 研究论文 • 上一篇    下一篇

利用基于光学暗场反射测量的光学遥感技术探测飞行的农业害虫(英文)

朱世明1, 李逸云1, 高丽娜2, 李天祺1, 赵光宇1, Sune SVANBERG1, 3, *,路朝晖4, 胡建东4, 黄建荣2, 封洪强2,*     

  1. (1. 华南师范大学光及电磁波研究中心, 广州 510006; 2. 河南省农业科学院植物保护研究所, 河南省作物保护国际联合实验室, 郑州 450002; 3. Department of Physics, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden; 4. 河南农业大学电机工程学院, 郑州 450002)
  • 出版日期:2016-12-20 发布日期:2016-12-20

Optical remote detection of flying agricultural pest insects using dark-field reflectance measurements (InEnglish

ZHU Shi-Ming1, LI Yi-Yun1, GAO Li-Na2, LI Tian-Qi1, ZHAO Guang-Yu1,Sune SVANBERG 1,3,*, LU Chao-Hui4, HU Jian-Dong4,HUANG Jian-Rong2, FENG Hong-Qiang2,* #br#     

  1. (1. Center for Optical and Electromagnetic Research, South China Normal University, Guangzhou 510006, China; 2. International Joint Research Laboratory for Crop Protection of Henan, Institute for Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China; 3. Department of Physics, Lund University, P.O. Box 118, SE-22100 Lund, Sweden; 4. Department of Electrical Engineering, Henan  Agricultural University, Zhengzhou 450002, China)
  • Online:2016-12-20 Published:2016-12-20

摘要: 【目的】本研究的目的是开发一种光学遥感技术实现在农田昼夜连续自动地监测农业害虫。【方法】一个望远镜通过对准远处的暗箱,得到一个低亮度水平的基线。当昆虫在望远镜的视野中飞过时,它散射的太阳光的光学信息就被连接到望远镜的记录系统采集到。在夜晚我们使用很强的灯光替代太阳光来照亮昆虫。【结果】昆虫计数、昆虫的振翅频率分析及反射光谱记录都获得成功。这表明使用暗场背向散射探测系统监测昆虫是可行的。手动释放的已知昆虫种类都具有独特的光谱特性。几种害虫特别是桃蛀螟Conogethes punctiferalis (Guenée)和短角异斑腿蝗Xenocatantops brachycerus (Willemse)都用本文描述的方法进行了成功识别。【结论】用暗场背向散射探测系统昼夜连续监测田间农业害虫是可行的。跟预期的一样,散射的振翅频率和光谱信息可以用来识别害虫。

关键词: 光学遥感, 暗场背向散射探测, 昆虫, 桃蛀螟, 短角异斑腿蝗

Abstract: 【Aim】 The aim of the present study is to develop an optical remote sensing technology to automatically monitor insect pests in agricultural fields day and night. 【Methods】 A small reflective telescope was arranged facing a distant dark box, providing a low-lightlevel base line. When insects flied into the telescope field of view, they scattered light from the sun, and the optical information could be collected by the recording system attached to the telescope. At night we instead employed a strong lamp for insect illumination. 【Results】 Insect counting, wing-beat frequency analysis and reflectance spectra recordings were all successfully achieved. This illustrates the possibility to monitor agricultural insect pests with a dark-field back-scattering detection system. Each released known insect species showed a unique reflectance spectrum character. Several insect species, in particular Conogethes punctiferalis (Guenée) and Xenocatantops brachycerus (Willemse) were successfully distinguished from each other by employing the method we introduced. 【Conclusion】 The dark-field back-scattering detection system is practical for monitoring agricultural insect pests in the field through day and night. The wingbeat frequency as well as the spectral contents could be used for pest insect recognition as anticipated.

Key words: Optical remote sensing, dark-field back-scattering detection, insect, Conogethes punctiferalis, Xenocatantops brachycerus