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...

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Detalles Bibliográficos
Autores principales: Pang, Haitong, Zhang, Yitao, Cai, Weiming, Li, Bin, Song, Ruiyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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