Cargando…
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
The utilization of machine vision and its associated algorithms improves the efficiency, functionality, intelligence, and remote interactivity of harvesting robots in complex agricultural environments. Machine vision and its associated emerging technology promise huge potential in advanced agricultu...
Autores principales: | Tang, Yunchao, Chen, Mingyou, Wang, Chenglin, Luo, Lufeng, Li, Jinhui, Lian, Guoping, Zou, Xiangjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250149/ https://www.ncbi.nlm.nih.gov/pubmed/32508853 http://dx.doi.org/10.3389/fpls.2020.00510 |
Ejemplares similares
-
Recognition and Matching of Clustered Mature Litchi Fruits Using Binocular Charge-Coupled Device (CCD) Color Cameras
por: Wang, Chenglin, et al.
Publicado: (2017) -
Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm
por: Zhou, Xinzhao, et al.
Publicado: (2023) -
Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review
por: Wang, Chenglin, et al.
Publicado: (2022) -
Robust Grape Cluster Detection in a Vineyard by Combining the AdaBoost Framework and Multiple Color Components
por: Luo, Lufeng, et al.
Publicado: (2016) -
Detection and localization of citrus fruit based on improved You Only Look Once v5s and binocular vision in the orchard
por: Hou, Chaojun, et al.
Publicado: (2022)