Detection and recognition of the invasive species, Hylurgus ligniperda, in traps, based on a cascaded convolution neural network.

Xiahui ZhangZhengyi LiLili RenXuanxin LiuTian ZengJing Tao

Published in: Pest management science (2024)

-score of all kinds of insects in the trap was 0.98. Compared to traditional insect classification, this method offers great improvement in the identification and early warning of forest pests, as well as provide technical support for the early prevention and control of forest pests. © 2024 Society of Chemical Industry.

Keyphrases

neural network
climate change
machine learning
deep learning
loop mediated isothermal amplification
real time pcr
label free
aedes aegypti
bioinformatics analysis
genetic diversity