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A real-time object detection model for orchard pests based on improved YOLOv4 algorithm
Accurate and efficient real-time detection of orchard pests was essential and could improve the economic benefits of the fruit industry. The orchard pest dataset, PestImgData, was built through a series of methods such as web crawler, specimen image collection and data augmentation. PestImgData was...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360051/ https://www.ncbi.nlm.nih.gov/pubmed/35941200 http://dx.doi.org/10.1038/s41598-022-17826-4 |