Study on the Detection Method for Daylily Based on YOLOv5 under Complex Field Environments

Intelligent detection is vital for achieving the intelligent picking operation of daylily, but complex field environments pose challenges due to branch occlusion, overlapping plants, and uneven lighting. To address these challenges, this study selected an intelligent detection model based on YOLOv5s...

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Detalles Bibliográficos
Autores principales: Yan, Hongwen, Cai, Songrui, Li, Qiangsheng, Tian, Feng, Kan, Sitong, Wang, Meimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181306/
https://www.ncbi.nlm.nih.gov/pubmed/37176827
http://dx.doi.org/10.3390/plants12091769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181306/
https://www.ncbi.nlm.nih.gov/pubmed/37176827
http://dx.doi.org/10.3390/plants12091769

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