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Monitoring vineyard canopy management operations using UAV-acquired photogrammetric point clouds

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dc.contributor.authorLópez Granados, Francisca
dc.contributor.authorOneka Mugica, Oihane
dc.contributor.authorMarín Ederra, Diana
dc.contributor.authorLoidi Erviti, Maite
dc.contributor.authorSantesteban García, Gonzaga
dc.contributor.departmentAgronomía, Biotecnología y Alimentaciónes_ES
dc.contributor.departmentAgronomia, Bioteknologia eta Elikaduraeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernuaen
dc.date.accessioned2021-01-27T12:17:53Z
dc.date.available2021-01-27T12:17:53Z
dc.date.issued2020
dc.description.abstractCanopy management operations, such as shoot thinning, leaf removal, and shoot trimming, are among the most relevant agricultural practices in viticulture. However, the supervision of these tasks demands a visual inspection of the whole vineyard, which is time-consuming and laborious. The application of photogrammetric techniques to images acquired with an Unmanned Aerial Vehicle (UAV) has proved to be an efficient way to measure woody crops canopy. Consequently, the objective of this work was to determine whether the use ofUAV photogrammetry allows the detection of canopy management operations. A UAV equipped with an RGB digital camera was used to acquire images with high overlap over different canopy management experiments in four vineyards with the aim of characterizing vine dimensions before and after shoot thinning, leaf removal, and shoot trimming operations. The images were processed to generate photogrammetric point clouds of every vine that were analyzed using a fully automated object-based image analysis algorithm. Two approaches were tested in the analysis of the UAV derived data: (1) to determine whether the comparison of the vine dimensions before and after the treatments allowed the detection of the canopy management operations; and (2) to study the vine dimensions after the operations and assess the possibility of detecting these operations using only the data from the flight after them. The first approach successfully detected the canopy management. Regarding the second approach, significant differences in the vine dimensions after the treatments were detected in all the experiments, and the vines under the shoot trimming treatment could be easily and accurately detected based on a fixed threshold.en
dc.description.sponsorshipThis research was partly financed by the AGL2017-83325-C4-4-R (Spanish Ministry of Science and Innovation AEI/EU-FEDER funds), DECIVID and VINO ROSADO (funds from the Government of Navarra, grant nos. 0011-1365-2017-000113 and 0011-1365-2019-000111), and Intramural-CSIC (grant nos. 201840E002 and 202040E230) projects. Research of Dr. de Castro was supported by the Juan de la Cierva-Incorporación Program. Diana Marin is beneficiary of a postgraduate scholarships funded by the Universidad Pública de Navarra (FPI-UPNA-2016), and Oihane Oneka of a Youth Guarantee grant for R+D (Ministry of Science and Universities, 17/5/2018). The authors acknowledge the support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI).en
dc.format.extent22 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/rs12142331
dc.identifier.issn2072-4292 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/39079
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofRemote Sensing, 2020, 12(14), 2331en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-83325-C4-4-R/ES/en
dc.relation.publisherversionhttps://doi.org/10.3390/rs12142331
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectShoot thinningen
dc.subjectLeaf removalen
dc.subjectShoot trimmingen
dc.subjectRemote sensingen
dc.subjectChange detectionen
dc.subject3D mappingen
dc.subjectOBIAen
dc.titleMonitoring vineyard canopy management operations using UAV-acquired photogrammetric point cloudsen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dspace.entity.typePublication
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relation.isAuthorOfPublication2fbc8ad8-b6f5-43ea-9676-a8095d423917
relation.isAuthorOfPublication98b7d0ec-021d-415c-90c3-5a4b3c35d526
relation.isAuthorOfPublication70e95546-7fe8-4555-b366-74356bdb746e
relation.isAuthorOfPublication.latestForDiscovery534b9a3d-3a57-48bd-9f95-db5190c1a7c1

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