Research and Implementation of Millet Ear Detection Method Based on Lightweight YOLOv5

As the millet ears are dense, small in size, and serious occlusion in the complex grain field scene, the target detection model suitable for this environment requires high computing power, and it is difficult to deploy the real-time detection of millet ears on mobile devices. A lightweight real-time...

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Detalles Bibliográficos
Autores principales: Qiu, Shujin, Li, Yun, Gao, Jian, Li, Xiaobin, Yuan, Xiangyang, Liu, Zhenyu, Cui, Qingliang, Wu, Cuiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675272/
https://www.ncbi.nlm.nih.gov/pubmed/38005575
http://dx.doi.org/10.3390/s23229189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675272/
https://www.ncbi.nlm.nih.gov/pubmed/38005575
http://dx.doi.org/10.3390/s23229189

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