Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards

dc.contributor.authorLlorens Calveras, Jordi
dc.contributor.authorAlsina Tehàs, Albert
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.contributor.authorEscolà i Agustí, Alexandre
dc.date.accessioned2022-11-03T09:49:39Z
dc.date.available2022-11-03T09:49:39Z
dc.date.issued2021
dc.description.abstractAn analysis of data obtained by a LiDAR sensor was carried out. The sensor uses 16 laser beams and was moved along super-intensive almond orchard alleyways to obtain a 3D point cloud. Different beam combinations were used to obtain three geometrical crop parameters: canopy height, width and cross-sectional area. The parameters were computed using a single central beam, a combination of the two outer beams and all 16 beams. The results showed statistically significant differences in width and cross-sectional area when using one, two or sixteen beams. The more the laser beams considered, the larger the canopy width and cross-sectional area. 28-33% larger width was obtained in comparison to the central beam whereas the cross-sectional area was doubled when all beams were considered.ca_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Science, Innovation and Universities through the project PAgFRUIT (RTI2018-094222-B-I00). Also this work was supported by Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya under Grant 2017-SGR-646.ca_ES
dc.identifier.doihttps://doi.org/10.3920/978-90-8686-916-9_47
dc.identifier.urihttp://hdl.handle.net/10459.1/84065
dc.language.isoengca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094222-B-I00/ES/TECNOLOGIAS DE AGRICULTURA DE PRECISION PARA OPTIMIZAR EL MANEJO DEL DOSEL FOLIAR Y LA PROTECCION FITOSANITARIA SOSTENIBLE EN PLANTACIONES FRUTALES/ca_ES
dc.relation.haspart13th European Conference on Precision Agriculture, July 19-22, 2021, Budapest, Hungary
dc.relation.isformatofVersió preprint del document publicat a https://doi.org/10.3920/978-90-8686-916-9_47ca_ES
dc.relation.ispartofStafford, J.V. (ed.), Precision Agriculture’21. Wageningen Academic Publishers, Amsterdam (The Netherlands), pp 395-401. https://doi.org/10.3920/978-90-8686-916-9ca_ES
dc.rights© Jordi Llorens et al., 2021ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.subjectLiDARca_ES
dc.subjectMulti-beamca_ES
dc.subjectCanopy geometryca_ES
dc.subjectOrchardsca_ES
dc.titleMulti-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchardsca_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectca_ES
dc.type.versioninfo:eu-repo/semantics/submittedVersionca_ES
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