Cargando…
WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion
Accurate and dependable weed detection technology is a prerequisite for weed control robots to do autonomous weeding. Due to the complexity of the farmland environment and the resemblance between crops and weeds, detecting weeds in the field under natural settings is a difficult task. Existing deep...
Autores principales: | Guo, Zhiqiang, Goh, Hui Hwang, Li, Xiuhua, Zhang, Muqing, Li, Yong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408303/ https://www.ncbi.nlm.nih.gov/pubmed/37560032 http://dx.doi.org/10.3389/fpls.2023.1226329 |
Ejemplares similares
-
Wheat Ear Recognition Based on RetinaNet and Transfer Learning
por: Li, Jingbo, et al.
Publicado: (2021) -
Storm-Drain and Manhole Detection Using the RetinaNet Method
por: Santos, Anderson, et al.
Publicado: (2020) -
Detection and identification of tea leaf diseases based on AX-RetinaNet
por: Bao, Wenxia, et al.
Publicado: (2022) -
Automatic Detection and Counting of Blood Cells in Smear Images Using RetinaNet
por: Drałus, Grzegorz, et al.
Publicado: (2021) -
Visual Recognition of Traffic Signs in Natural Scenes Based on Improved RetinaNet
por: Liu, Shangwang, et al.
Publicado: (2022)