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dc.contributor.authorTorres-Sánchez, Jorgees_ES
dc.contributor.authorLópez Granados, Franciscaes_ES
dc.contributor.authorSerrano, Nicoláses_ES
dc.contributor.authorArquero, Octavioes_ES
dc.contributor.authorPeña Barragán, José Manueles_ES
dc.date.accessioned2017-12-21T09:59:58Z-
dc.date.available2017-12-21T09:59:58Z-
dc.date.issued2015-06-24-
dc.identifier.citationPLoS ONE 10(6): e0130479 (20159es_ES
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/10261/158435-
dc.description.abstractThe geometric features of agricultural trees such as canopy area, tree height and crown volume provide useful information about plantation status and crop production. However, these variables are mostly estimated after a time-consuming and hard field work and applying equations that treat the trees as geometric solids, which produce inconsistent results. As an alternative, this work presents an innovative procedure for computing the 3-dimensional geometric features of individual trees and tree-rows by applying two consecutive phases: 1) generation of Digital Surface Models with Unmanned Aerial Vehicle (UAV) technology and 2) use of object-based image analysis techniques. Our UAV-based procedure produced successful results both in single-tree and in tree-row plantations, reporting up to 97% accuracy on area quantification and minimal deviations compared to in-field estimations of tree heights and crown volumes. The maps generated could be used to understand the linkages between tree grown and field-related factors or to optimize crop management operations in the context of precision agriculture with relevant agro-environmental implications.es_ES
dc.description.sponsorshipThis research was partly financed by the RECUPERA-2020 Project (agreement between Spanish CSIC and MINECO, EU-FEDER funds) and the Marie Curie Actions (ref.: Project FP7-PEOPLE-2011-CIG-293991, EU-7th Frame Program), Spanish Ministry of Economy and Competitiveness partially funded JTS (FPI grant) and JMP (Ramon y Cajal grant) research.es_ES
dc.language.isoenges_ES
dc.publisherPublic Library of Sciencees_ES
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/293991es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titleHigh-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technologyes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1371/journal.pone.0130479-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://doi.org/10.1371/journal.pone.0130479es_ES
dc.rights.licensehttp://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderConsejo Superior de Investigaciones Científicas (España)es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderEuropean Commissiones_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003339es_ES
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