Xiangshuai Li, Shuqi Li, Chenxin Hou, Yuqian Bai, Hongmei Zhang, Jia Song, Zishi Wang, Hongliang Xu
Engineering Research Center of Pesticide of Heilongjiang Province, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin 150080, China
In order to better use traps to monitor and control the pine wilt disease (PWD) transmitted by Monochamus alternatus, it is necessary to artificial intelligence research of traps. By consulting the literature, we found that the existing Monochamus alternatus traps generally had many shortcomings such as low levels of artificial intelligence and high operating costs. On the basis of circumventing the shortcomings of existing traps and integrating the advantages of existing traps, we designed the novel Wisdom Monochamus alternatus trap based on a new perspective of artificial intelligence. It integrates three functions of remote manipulation, pesticide application prevention and control, and natural enemy release. The research and development of this trap provide a novel basis for the protection of forestry resources and the development of new traps.
Monochamus alternatus trap. Artificial intelligence. Remote manipulation. Pesticide application control. Natural enemy release
Xiangshuai Li, Shuqi Li, Chenxin Hou, Yuqian Bai, Hongmei Zhang, Jia Song, Zishi Wang, Hongliang Xu. Design of the Novel Wisdom Trap for Monochamus Alternatus. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 3: 50-57. https://doi.org/10.25236/IJFET.2021.030309.
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