Recent Advances in Intelligent Automated Fruit Harvesting Robots
Yanbin Hua1, *, ‡, Nairu Zhang1, ‡, Xin Yuan1, ‡, Lichun Quan1, Jiangang Yang1, Ken Nagasaka2, *, Xin-Gen Zhou3, *
2Department of Electrical Engineering and Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Nakamachi, Koganei-shi, Tokyo 184-8588, Japan
3Texas A&M AgriLife Research Center, Texas A&M University System, 1509 Aggie Drive, Beaumont, TX 77713, USA
Identifiers and Pagination:Year: 2019
First Page: 101
Last Page: 106
Publisher ID: TOASJ-13-101
Article History:Received Date: 08/04/2019
Revision Received Date: 14/06/2019
Acceptance Date: 09/07/2019
Electronic publication date: 31/08/2019
Collection year: 2019
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Robotic harvesting offers a solution to reducing labor costs, optimizing harvest scheduling, enabling selective harvesting, and increasing operation efficiency. These attributes allow the users of robotic harvesters to maximize production efficiency and profits. This article reviews automated fruit harvesting systems of sweet pepper, tomato, apple and kiwifruit as an example to demonstrate the recent advances in intelligent automatic harvesting robots in horticulture.