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A Computer Vision Based Robotic Harvesting System for Lettuce

Viet-Cuong Pham , Hoang-Giap Nguyen , Thanh-Khang Doan , and Gia-Bao Huynh
Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam Vietnam National University, Ho Chi Minh City, Vietnam

Abstract—Harvesting lettuces is a challenging task in agriculture. In the paper, we propose a computer vision based robotic harvesting system for lettuce in hydroponic farms. In these farms, lettuces are grown in holes evenly located on parallel plastic tubes. Therefore, the problem of estimating locations of lettuces’ stems can be simplified by estimating the hole locations instead. In particular, locations of holes covered by lettuces are estimated based on uncovered holes and/or tubes’ edges which are found by using Hough transforms. A robot manipulator and a servo controlled gripper are used for the harvesting task. Experiment results show that the system, with the mean location error of 0.83 mm (typical cases) and maximum error of 9.62 mm, can efficiently perform harvesting task in real word environments. 
Index Terms—lettuce, computer vision, robotic, harvest, hydroponic farms

Cite: Viet-Cuong Pham, Hoang-Giap Nguyen, Thanh-Khang Doan, and Gia-Bao Huynh, "A Computer Vision Based Robotic Harvesting System for Lettuce," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 11, pp. 1526-1531, November 2020. DOI: 10.18178/ijmerr.9.11.1526-1531

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.