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Application of Spatio-Temporal Context and Convolution Neural Network (CNN) in Grooming Behavior of Bactrocera minax (Diptera: Trypetidae) Detection and Statistics
SIMPLE SUMMARY: Traditional manual insect grooming behavior statistical methods are time-consuming, labor-intensive, and error-prone. In response to this problem, we proposed a method for detecting the grooming behavior of Bactrocera minax based on computer vision and artificial intelligence. Using...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564701/ https://www.ncbi.nlm.nih.gov/pubmed/32846918 http://dx.doi.org/10.3390/insects11090565 |