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...

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Detalles Bibliográficos
Autores principales: Zhang, Zhiliang, Zhan, Wei, He, Zhangzhang, Zou, Yafeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564701/
https://www.ncbi.nlm.nih.gov/pubmed/32846918
http://dx.doi.org/10.3390/insects11090565

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