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Development of a sweet pepper harvesting robot
Ben-Gurion University of the Negev.ORCID iD: 0000-0003-0855-1387
Greenhouse Horticulture, Wageningen University & Research, Wageningen, The Netherlands.ORCID iD: 0000-0002-6949-6409
Greenhouse Horticulture, Wageningen University & Research, Wageningen, The Netherlands.ORCID iD: 0000-0002-9216-1607
Ben-Gurion University of the Negev.ORCID iD: 0000-0001-5346-152X
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2020 (English)In: Journal of Field RoboticsArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Abstract This paper presents the development, testing and validation of SWEEPER, a robot for harvesting sweet pepper fruit in greenhouses. The robotic system includes a six degrees of freedom industrial arm equipped with a specially designed end effector, RGB-D camera, high-end computer with graphics processing unit, programmable logic controllers, other electronic equipment, and a small container to store harvested fruit. All is mounted on a cart that autonomously drives on pipe rails and concrete floor in the end-user environment. The overall operation of the harvesting robot is described along with details of the algorithms for fruit detection and localization, grasp pose estimation, and motion control. The main contributions of this paper are the integrated system design and its validation and extensive field testing in a commercial greenhouse for different varieties and growing conditions. A total of 262 fruits were involved in a 4-week long testing period. The average cycle time to harvest a fruit was 24 s. Logistics took approximately 50% of this time (7.8 s for discharge of fruit and 4.7 s for platform movements). Laboratory experiments have proven that the cycle time can be reduced to 15 s by running the robot manipulator at a higher speed. The harvest success rates were 61% for the best fit crop conditions and 18% in current crop conditions. This reveals the importance of finding the best fit crop conditions and crop varieties for successful robotic harvesting. The SWEEPER robot is the first sweet pepper harvesting robot to demonstrate this kind of performance in a commercial greenhouse.

Place, publisher, year, edition, pages
John Wiley & Sons, 2020.
Keywords [en]
agriculture, computer vision, field test, motion control, real-world conditions, robotics
National Category
Robotics
Research subject
Computer Science; Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-79447DOI: 10.1002/rob.21937OAI: oai:DiVA.org:oru-79447DiVA, id: diva2:1389085
Funder
EU, Horizon 2020, 644313Available from: 2020-01-28 Created: 2020-01-28 Last updated: 2020-01-28

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Publisher's full texthttps://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21937

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Kurtser, Polina

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Arad, BoazBalendonck, JosBarth, RuudBen-Shahar, OhadEdan, YaelHellström, ThomasHemming, JochenKurtser, PolinaRingdahl, Ola
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School of Science and Technology
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