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

Authors :
Chenglin Wang
Weiyu Pan
Tianlong Zou
Chunjiang Li
Qiyu Han
Haoming Wang
Jing Yang
Xiangjun Zou
Source :
Agriculture, Vol 14, Iss 8, p 1346 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

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.

Details

Language :
English
ISSN :
20770472
Volume :
14
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.5c0488602c5945f8acc63de08f0f83e6
Document Type :
article
Full Text :
https://doi.org/10.3390/agriculture14081346