Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 127, Issue -, Pages 311-323Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2016.06.022
Keywords
Harvesting robot; Vision-based control; Vision information acquisition; Fruit recognition; Eye-hand coordination
Funding
- National High-Tech R&D Program of China (863 Program) [2013AA102307]
- National Key Technology RD Programs [2014BAD08B01, 2015BAF12B02]
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Although there is a rapid development of agricultural robotic technologies, a lack of access to robust fruit recognition and precision picking capabilities has limited the commercial application of harvesting robots. On the other hand, recent advances in key techniques in vision-based control have improved this situation. These techniques include vision information acquisition strategies, fruit recognition algorithms, and eye-hand coordination methods. In a fruit or vegetable harvesting robot, vision control is employed to solve two major problems in detecting objects in tree canopies and picking objects using visual information. This paper presents a review on these key vision control techniques and their potential applications in fruit or vegetable harvesting robots. The challenges and feature trends of applying these vision control techniques in harvesting robots are also described and discussed in the review. (C) 2016 Elsevier B.V. All rights reserved.
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