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http://dx.doi.org/10.20910/JASE.2022.16.1.49

Drone-mounted fruit recognition algorithm and harvesting mechanism for automatic fruit harvesting  

Joo, Kiyoung (Smart Air Mobility, Korea Aerospace University)
Hwang, Bohyun (Department of Aerospace and mechanical engineering, Korea Aerospace University)
Lee, Sangmin (Smart Air Mobility, Korea Aerospace University)
Kim, Byungkyu (Smart Air Mobility, Korea Aerospace University)
Baek, Joong-Hwan (School of Electronics and Information Engineering, Korea Aerospace University)
Publication Information
Journal of Aerospace System Engineering / v.16, no.1, 2022 , pp. 49-55 More about this Journal
Abstract
The role of drones has been expanded to various fields such as agriculture, construction, and logistics. In particular, agriculture drones are emerging as an effective alternative to solve the problem of labor shortage and reduce the input cost. In this study therefore, we proposed the fruit recognition algorithm and harvesting mechanism for fruit harvesting drone system that can safely harvest fruits at high positions. In the fruit recognition algorithm, we employ "You-Only-Look-Once" which is a deep learning-based object detection algorithm and verify its feasibility by establishing a virtual simulation environment. In addition, we propose the fruit harvesting mechanism which can be operated by a single driving motor. The rotational motion of the motor is converted into a linear motion by the scotch yoke, and the opened gripper moves forward, grips a fruit and rotates it for harvesting. The feasibility of the proposed mechanism is verified by performing Multi-body dynamics analysis.
Keywords
Drone; Agriculture; Harvesting system; Deep-learning; Object recognition; Harvesting mechanism;
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Times Cited By KSCI : 2  (Citation Analysis)
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