Cargando…
YOLOX-based blue laser weeding robot in corn field
A YOLOX convolutional neural network-based weeding robot was designed for weed removal in corn seedling fields, while verifying the feasibility of a blue light laser as a non-contact weeding tool. The robot includes a tracked mobile platform module, a weed identification module, and a robotic arm la...
Autores principales: | Zhu, Huibin, Zhang, Yuanyuan, Mu, Danlei, Bai, Lizhen, Zhuang, Hao, Li, Hui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674089/ https://www.ncbi.nlm.nih.gov/pubmed/36407588 http://dx.doi.org/10.3389/fpls.2022.1017803 |
Ejemplares similares
-
A new model based on improved VGG16 for corn weed identification
por: Yang, Le, et al.
Publicado: (2023) -
Rapid Detection of Wheat Ears in Orthophotos From Unmanned Aerial Vehicles in Fields Based on YOLOX
por: Zhaosheng, Yao, et al.
Publicado: (2022) -
Astragalus sinicus Incorporated as Green Manure for Weed Control in Corn
por: Liu, Silin, et al.
Publicado: (2022) -
Improved YOLOX-Tiny network for detection of tobacco brown spot disease
por: Lin, Jianwu, et al.
Publicado: (2023) -
An accurate green fruits detection method based on optimized YOLOX-m
por: Jia, Weikuan, et al.
Publicado: (2023)