Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion

SIMPLE SUMMARY: Various types of rice pests cause huge losses to rice production every year in China. In this paper, a deep neural network for pest detection and classification via digital images is proposed. The targeted optimization is improved for the pest characteristics. Our experiments determi...

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Detalles Bibliográficos
Autores principales: Hu, Yuqi, Deng, Xiaoling, Lan, Yubin, Chen, Xin, Long, Yongbing, Liu, Cunjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056798/
https://www.ncbi.nlm.nih.gov/pubmed/36975965
http://dx.doi.org/10.3390/insects14030280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056798/
https://www.ncbi.nlm.nih.gov/pubmed/36975965
http://dx.doi.org/10.3390/insects14030280

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