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UAV-assisted navigation for insect traps in olive groves

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datacite.subject.fosCiências Agrárias::Agricultura, Silvicultura e Pescas
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg02:Erradicar a Fome
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorBerger, Guido S.
dc.contributor.authorBonzatto Junior, Luciano
dc.contributor.authorPinto, Milena F.
dc.contributor.authorOliveira Júnior, Alexandre de
dc.contributor.authorMendes, João
dc.contributor.authorPereira, Ana I.
dc.contributor.authorSilva, Yago M. R. da
dc.contributor.authorValente, António
dc.contributor.authorLima, José
dc.date.accessioned2026-02-26T15:27:10Z
dc.date.available2026-02-26T15:27:10Z
dc.date.issued2024
dc.description.abstractUnmanned Aerial Vehicles (UAVs) have emerged as valuable tools in precision agriculture due to their ability to provide timely and detailed information over large agricultural areas. In this sense, this work aims to evaluate the semi-autonomous navigation capacity of a multirotor UAV when applied in the field of precision agriculture. For this, a small aircraft is used to identify and track a set of fiducial markers (Ar Track Alvar) in an environment that simulates inspections of insect traps in olive groves. The purpose of this marker is to provide a visual reference point for the drone’s navigation system. Once the Ar Track Alvar marker is detected, the robot will receive navigation information based on the marker’s position to approach the specific trap. The experimental setup evaluated the computer vision algorithm applied to the UAV to make it recognize the Ar Track Alvar marker and then reach the trap efficiently. Experimental tests were conducted in a indoor and outdoor environment using DJI Tello. The results demonstrated the feasibility of applying these fiducial markers as a solution for the UAV’s navigation in this proposed scenario.eng
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021), Oleachain ”Skills for sustainability and innovation in the value chain of traditional olive groves in the Northern Interior of Portugal” (Norte06-3559-FSE-000188) and Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ). The authors thank Marta Sofia Madureira from the Agrobio Tecnologia - Insects Laboratory, part of the Mountain Research Center (CIMO), for the technical support provided throughout this work.
dc.identifier.citationBerger, Guido S.; Bonzatto Junior, Luciano; Pinto, Milena F.; Oliveira Júnior, Alexandre de; Mendes, João; Silva, Yago M.R. da; Pereira, Ana I.; Valente, António; Lima, José (2024). UAV-assisted navigation for insect traps in olive groves. In 6th Iberian Robotics Conference, Robot 2023. ISSN 2367-3370. 978, p. 86-97
dc.identifier.doi10.1007/978-3-031-59167-9_8
dc.identifier.isbn9783031591662
dc.identifier.isbn9783031591679
dc.identifier.issn2367-3370
dc.identifier.urihttp://hdl.handle.net/10198/35873
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.ispartofRobot 2023: Sixth Iberian Robotics Conference
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectUAV
dc.subjectNavigation
dc.subjectFiducial marker
dc.subjectPrecision agriculture
dc.titleUAV-assisted navigation for insect traps in olive groveseng
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage97
oaire.citation.startPage86
oaire.citation.title6th Iberian Robotics Conference, Robot 2023
oaire.citation.volume978
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBerger
person.familyNameOliveira Júnior
person.familyNameMendes
person.familyNamePereira
person.familyNameLima
person.givenNameGuido S.
person.givenNameAlexandre de
person.givenNameJoão
person.givenNameAna I.
person.givenNameJosé
person.identifierhttps://scholar.google.com/citations?user=WurUUUUAAAAJ&hl=pt-PT&oi=ao
person.identifier2726655
person.identifierR-000-8GD
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person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-4100-1494
person.identifier.orcid0000-0002-7009-3965
person.identifier.orcid0000-0003-0979-8314
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57426745400
person.identifier.scopus-author-id57225794972
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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