Identification and Localisation Algorithm for Sugarcane Stem Nodes by Combining YOLOv3 and Traditional Methods of Computer Vision

Sugarcane stem node identification is the core technology required for the intelligence and mechanization of the sugarcane industry. However, detecting stem nodes quickly and accurately is still a significant challenge. In this paper, in order to solve this problem, a new algorithm combining YOLOv3...

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Detalles Bibliográficos
Autores principales: Zhou, Deqiang, Zhao, Wenbo, Chen, Yanxiang, Zhang, Qiuju, Deng, Ganran, He, Fengguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654303/
https://www.ncbi.nlm.nih.gov/pubmed/36365970
http://dx.doi.org/10.3390/s22218266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654303/
https://www.ncbi.nlm.nih.gov/pubmed/36365970
http://dx.doi.org/10.3390/s22218266

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