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

Sotiris Stavridis, Λεωνίδας Δρούκας, Zoe Doulgeri, Dimitrios Papageorgiou, Fotios Dimeas, A. Soriano, Sergi Molina, Sami Ahmed Deiri, Michael Hutchinson, Jaime Pulido Fentanes, Ibrahim Hroob, Riccardo Polvara, Marc Hanheide, Grzegorz Cielniak, Nikiforos Samarinas, Dimitrios Katerıs, Dionysis Bochtis, Georgia Peleka, Stefanos Papadam, Dimitra Triantafyllou

发表年份
2024
引用次数
4

摘要

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 (<uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://cordis.europa.eu/project/id/871704</uri> and <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://bacchus-project.eu/</uri>) 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.

关键词

Computer scienceEmbedded systemArtificial intelligenceEngineeringHuman–computer interactionCognitionPsychologyNeuroscience

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