A peanut and weed detection model used in fields based on BEM-YOLOv7-tiny.

Hua, Yong; Xu, Hongzhen; Liu, Jiaodi; Quan, Longzhe; Wu, Xiaoman; Chen, Qingli

Hua, Yong; Xu, Hongzhen; Liu, Jiaodi; Quan, Longzhe; Wu, Xiaoman; Chen, Qingli.

Afiliación

Hua Y; College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, China.
Xu H; College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, China.
Liu J; Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China.
Quan L; College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, China.
Wu X; Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China.
Chen Q; College of Engineering, Anhui Agricultural University, Hefei 230036, China.

Math Biosci Eng ; 20(11): 19341-19359, 2023 Oct 17.

Article en En | MEDLINE | ID: mdl-38052603

Palabras clave

BEM-YOLOv7-tiny; deep learning; different weeding periods; peanut and weed detection; precision weeding

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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