Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
Zhongkai University of Agriculture and Engineering · South China Agricultural University · +3 more institutions
Abstract
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 agricultural applications. However, machine vision and its precise positioning still have many technical difficulties, making it difficult for most harvesting robots to achieve true commercial applications. This article reports the application and research progress of harvesting robots and vision technology in fruit picking. The potential applications of vision and quantitative methods of localization, target recognition, 3D…
Citation impact
- FWCI
- 70.98
- Percentile
- 100%
- References
- 174
Authors
7Topics & keywords
- Artificial intelligence
- Machine vision
- Computer science
- Robot
- Computer vision
- Fault tolerance
- Robotics
- Machine learning
- Zero hunger