Cargando…
Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
Robotic harvesting shows a promising aspect in future development of agricultural industry. However, there are many challenges which are still presented in the development of a fully functional robotic harvesting system. Vision is one of the most important keys among these challenges. Traditional vi...
Autores principales: | Kang, Hanwen, Zhou, Hongyu, Wang, Xing, Chen, Chao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583839/ https://www.ncbi.nlm.nih.gov/pubmed/33020430 http://dx.doi.org/10.3390/s20195670 |
Ejemplares similares
-
Learning-Based Slip Detection for Robotic Fruit Grasping and Manipulation under Leaf Interference
por: Zhou, Hongyu, et al.
Publicado: (2022) -
Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
por: Kang, Hanwen, et al.
Publicado: (2019) -
Dynamics of the Apple Fruit Microbiome after Harvest and Implications for Fruit Quality
por: Bösch, Yvonne, et al.
Publicado: (2021) -
GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping †
por: Kumra, Sulabh, et al.
Publicado: (2022) -
Human Grasp Mechanism Understanding, Human-Inspired Grasp Control and Robotic Grasping Planning for Agricultural Robots
por: Zheng, Wei, et al.
Publicado: (2022)