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Rice pest identification based on multi-scale double-branch GAN-ResNet
Rice production is crucial to the food security of all human beings, and how rice pests and diseases can be effectively prevented in and timely detected is a hotspot issue in the field of smart agriculture. Deep learning has become the preferred method for rice pest identification due to its excelle...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140523/ https://www.ncbi.nlm.nih.gov/pubmed/37123817 http://dx.doi.org/10.3389/fpls.2023.1167121 |