Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images.

Li, Jie; Wang, Enguo; Qiao, Jiangwei; Li, Yi; Li, Li; Yao, Jian; Liao, Guisheng

Li, Jie; Wang, Enguo; Qiao, Jiangwei; Li, Yi; Li, Li; Yao, Jian; Liao, Guisheng.

Afiliación

Li J; Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, 430068, Wuhan, China.
Wang E; Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, 430068, Wuhan, China.
Qiao J; Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Chinese Academy of Agricultural Sciences, Wuhan, China. qiaojiangwei@caas.cn.
Li Y; Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, 430068, Wuhan, China.
Li L; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Yao J; School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
Liao G; National Lab of Radar Signal Processing, Xidian University, Xian, China.

Plant Methods ; 19(1): 40, 2023 Apr 24.

Article en En | MEDLINE | ID: mdl-37095540

Palabras clave

Attention mechanism; Bayesian loss; Pyramidal convolution; Rape flower clusters

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Plant Methods Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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