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Expose the true and false faces of the Asian Giant Hornets

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DOI: 10.23977/erej.2021.050205 | Downloads: 0 | Views: 39

Author(s)

Minghao Chen 1

Affiliation(s)

1 Aircraft Engineering College, Nanchang HangKong University, Nanchang, Jiangxi 330000

Corresponding Author

Minghao Chen

ABSTRACT

The goal of this article is to build a dynamics prediction model, in order to estimate the propagation characteristics of Asian giant hornets in Washington State. We expect to implement some strategies for the Washington State Department of Agriculture to reduce the losses caused by the biological invasion. This paper build up to Hornet's dynamics prediction model. About this Model, firstly produce the positive ID data visualization points, then use the vector radial circle to examine the estimated propagation direction. Then, according to the Leslie population growth model [1], a propagation dynamics model (time series model) was established. Then, the model was used to construct a propagation diffusion map for the next few years.

KEYWORDS

Visualization, Vector Radial Circle, Leslie population growth model

CITE THIS PAPER

Minghao Chen. Expose the true and false faces of the Asian Giant Hornets. Environment, Resource and Ecology Journal (2021) 5: 19-22. DOI: http://dx.doi.org/10.23977/erej.2021.050205

REFERENCES

[1] Xia Denan. Research on agricultural insect image recognition based on deep learning [D]. Anhui University, 2019
[2] Jiang Lemei. Insect recognition method based on deep learning and its application [D]. Hunan Agricultural University, 2019
[3] Mu Wenxiu, Hong Lei, Wang Han. Application of intelligent insect classification recognition algorithm based on machine learning [J]. Digital technology and application, 2018, 36 (11): 118-119
[4] Pang Hongwei. Research on insect image recognition technology based on deep learning [D]. University of Chinese Academy of Sciences (School of artificial intelligence, Chinese Academy of Sciences), 202

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