Yajuan Duan1, Xiangshuai Li1, Lishan Wang1, Tao Yu2, Changhua Liu1, Shiliang Cao2
1College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin 150080, China
2Maize Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China
In order to prevent the further proliferation and spread of RIFA in our country, reduce the serious harm caused by RIFA populations to agricultural and forestry production, human health, public safety and the ecological environment. A new type of trap based on mobile function, obstacle clearance function, energy supply function, signal transmission function and trapping function has been developed. The new remote controlled RIFA trap is improved and upgraded on the basis of the existing traditional traps. The research and development of this trap not only advances the process of emergency trapping of RIFA in my country, but also provides a new way for artificial intelligence to prevent and control RIFA in the future.
RIFA, Trap, Remote control, Artificial intelligence
Yajuan Duan, Xiangshuai Li, Lishan Wang, Tao Yu, Changhua Liu, Shiliang Cao. Research and Development of a New Remote Control RIFA Trap. International Journal of New Developments in Engineering and Society (2021) Vol.5, Issue 2: 45-50. https://doi.org/10.25236/IJNDES.2021.050207.
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