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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...
Kaydedildi:
| Yayımlandı: | Insects |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7564701/ https://ncbi.nlm.nih.gov/pubmed/32846918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/insects11090565 |
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