Author(s)

Yiming Liu ¹, Yimin Yu ², Chenhang Ding ², Yifan Liu ¹

Affiliation(s)

¹ Faculty of Maritime and Transportation, Ningbo University, Ningbo, Zhejiang, 315832, China
² Faculty of YANGMING, Ningbo University, Ningbo, Zhejiang, 315211, China

Corresponding Author

ABSTRACT

Asian giant hornet originated from South-East Asia. They can spread to other regions by accident and cause aggressive effects on local species (such as native bees). Once the Asian giant hornet is found, it is necessary to be vigilant in the corresponding larger geographic area. However, the public cannot accurately identify whether it is an Asian giant hornet, causing a large number of mistaken sightings. Therefore, it is urgent to effectively recognize the positive reports of the Asian giant hornets, and to further find a reliable way to curb their spread hornets and eventually eradicate them. We screen and transform the specified information in data processing. In the literature, we establish an image recognition model based on deep learning, as well as carry out the transfer learning of the Asian giant hornets on the basis of the AlexNet model.

KEYWORDS

CITE THIS PAPER

Yiming Liu, Yimin Yu, Chenhang Ding, Yifan Liu. Research on Species Intrusion Recognition Prevention and Control Based on AlexNET. Environment, Resource and Ecology Journal (2021) 5: 20-23. DOI: http://dx.doi.org/10.23977/erej.2021.050305

REFERENCES

[1] QuickStats: Number of Deaths from Hornet, Wasp, and Bee Stings, Among Males and Females — National Vital Statistics System, United States, 2000–2017. 2019 Morbidity and Mortality Weekly Report 68: 649.
[2] Ala’raj Maher, Majdalawieh Munir, Nizamuddin Nishara. Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections. 2021, 6:98-111. 
[3] Siyuan Lu, Zhihai Lu, Yu-Dong Zhang. Pathological brain detection based on AlexNet and transfer learning. 2019, 30:41-47.

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