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Robotic Grape Inspection and Selective Harvesting in Vineyards: A Multisensory Robotic System With Advanced Cognitive Capabilities

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posted on 2025-01-03, 11:07 authored by Sotiris Stavris, Leonidas Droukas, Zoe Doulgeri, Dimitrios Papageorgiou, Fotios Dimeas, Ángel Soriano, Sergio Molina Mellado, Sami Ahmed Deiri, Michael Hutchinson, Jaime Pulido Fentanes, Ibrahim HroobIbrahim Hroob, Riccardo PolvaraRiccardo Polvara, Marc HanheideMarc Hanheide, Grzegorz CielniakGrzegorz Cielniak, Nikiforos Samarinas, Dimitrios Kateris, Dionysis BochtisDionysis Bochtis, Georgia Peleka, Stefanos Papadam, Dimitra Triantafyllou, Alexios Papadimitriou, Christos PapadopoulosChristos Papadopoulos, Ioannis Mariolis, Dimitrios Giakoumis, Dimitrios Tzovaras
<p>Driven by the increasing food demand and the need for higher-quality  cultivation, precision agriculture grows steadily during the last  decade. It involves the application of mobile robots and intelligent  robotic technologies in various agricultural field tasks, concerning a  variety of crop types. Aiming at compensating for the lack of selective  robotic harvesting solutions regarding the high-value crop of grapes,  the EU-funded project BACCHUS 1  develops an intelligent mobile robotic system, comprising two  independent and cooperative robots: one for the grape inspection and  collection of valuable data regarding their maturity level, and one for  the bimanual harvesting of grapes in a human-inspired manner. Validated  via real-field trials, the proposed autonomous system pushes forward the  precision agriculture application for a particularly sensitive crop  type in the challenging and heavily cluttered environment of vineyards,  facilitating the selective harvesting of high-quality grapes.</p>

Funding

MoBile Robotic PlAtforms for ACtive InspeCtion and Harvesting in AgricUltural AreaS

European Commission

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European Community Framework Programme Horizon 2020, 871704, BACCHUS

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

IEEE Robotics & Automation Magazine

Publisher

IEEE

ISSN

1070-9932

eISSN

1558-223X

Date Accepted

2024-10-25

Date of First Publication

2024-11-21

Publisher statement

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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