Cargando…
TomatoDet: Anchor-free detector for tomato detection
The accurate and robust detection of fruits in the greenhouse is a critical step of automatic robot harvesting. However, the complicated environmental conditions such as uneven illumination, leaves or branches occlusion, and overlap between fruits make it difficult to develop a robust fruit detectio...
Autores principales: | Liu, Guoxu, Hou, Zengtian, Liu, Hongtao, Liu, Jun, Zhao, Wenjie, Li, Kun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9389331/ https://www.ncbi.nlm.nih.gov/pubmed/35991435 http://dx.doi.org/10.3389/fpls.2022.942875 |
Ejemplares similares
-
Diseases Detection of Occlusion and Overlapping Tomato Leaves Based on Deep Learning
por: Wang, Xuewei, et al.
Publicado: (2021) -
Tomato Pest Recognition Algorithm Based on Improved YOLOv4
por: Liu, Jun, et al.
Publicado: (2022) -
An efficient tomato-detection method based on improved YOLOv4-tiny model in complex environment
por: Mbouembe, Philippe Lyonel Touko, et al.
Publicado: (2023) -
Tomato Anomalies Detection in Greenhouse Scenarios Based on YOLO-Dense
por: Wang, Xuewei, et al.
Publicado: (2021) -
ASP-Det: Toward Appearance-Similar Light-Trap Agricultural Pest Detection and Recognition
por: Wang, Fenmei, et al.
Publicado: (2022)