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Density estimation of Bemisia tabaci (Hemiptera: Aleyrodidae) in laboratory condition using robotics in conjunction with an image processing system

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/290798
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한국응용곤충학회 (Korean Society Of Applied Entomology)
초록

Accurate estimation of insect density is essential for effective pest management. A simple robotics and image processing system were combined to automatically recognize the density of whiteflies. Subsequently the robot arm was utilized to spray the pesticides in the area of infestation in a minimized amount. The estimated densities of samples in the laboratory condition were in accordance with the actual values. The detection system was efficient when the whitefly densities were at medium to high levels. The results of the present study indicate that the robotic and image processing integration system described here would be useful for evaluating the population dynamics.

저자
  • Chunlei Xia(Division of Biological Sciences, Pusan National University)
  • Mu Qiao(Division of Biological Sciences, Pusan National University)
  • Bu-Keun Chung(Plant Environment Research Division, Gyeongsangnam-do Agricultural Research and Extension Services)
  • Jongman Cho(Department of Biomedical Engineering, Inje University)
  • Tae-Soo Chon(Division of Biological Sciences, Pusan National University)