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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...
Autores principales: | Hu, Yuqi, Deng, Xiaoling, Lan, Yubin, Chen, Xin, Long, Yongbing, Liu, Cunjia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |
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