A Review of Perception Technologies for Berry Fruit-Picking Robots: Advantages, Disadvantages, Challenges, and Prospects

Berries are nutritious and valuable, but their thin skin, soft flesh, and fragility make harvesting and picking challenging. Manual and traditional mechanical harvesting methods are commonly used, but they are costly in labor and can damage the fruit. To overcome these challenges, it may be worth ex...

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Bibliographic Details
Published in:Agriculture (Basel) 2024-08, Vol.14 (8), p.1346
Main Authors: Wang, Chenglin, Pan, Weiyu, Zou, Tianlong, Li, Chunjiang, Han, Qiyu, Wang, Haoming, Yang, Jing, Zou, Xiangjun
Format: Article
Language:English
Subjects:
Agriculture
berry fruit
Depth perception
Distance measurement
end-effector
Fragility
Fruits
Grasping (robotics)
Harvest
Measuring instruments
Perception
perception technology
Picking
picking robots
Robotics
Robotics industry
Robots
Sensors
Strawberries
Structural design
Structural engineering
Tactile discrimination
Tactile perception
Technology
Technology application
Visual perception
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Summary:Berries are nutritious and valuable, but their thin skin, soft flesh, and fragility make harvesting and picking challenging. Manual and traditional mechanical harvesting methods are commonly used, but they are costly in labor and can damage the fruit. To overcome these challenges, it may be worth exploring alternative harvesting methods. Using berry fruit-picking robots with perception technology is a viable option to improve the efficiency of berry harvesting. This review presents an overview of the mechanisms of berry fruit-picking robots, encompassing their underlying principles, the mechanics of picking and grasping, and an examination of their structural design. The importance of perception technology during the picking process is highlighted. Then, several perception techniques commonly used by berry fruit-picking robots are described, including visual perception, tactile perception, distance measurement, and switching sensors. The methods of these four perceptual techniques used by berry-picking robots are described, and their advantages and disadvantages are analyzed. In addition, the technical characteristics of perception technologies in practical applications are analyzed and summarized, and several advanced applications of berry fruit-picking robots are presented. Finally, the challenges that perception technologies need to overcome and the prospects for overcoming these challenges are discussed.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture14081346