R software code to process and extract information from 3D Lidar point clouds
| dc.contributor.author | Llorens Calveras, Jordi | |
| dc.contributor.author | Cabrera Pérez, Carlos | |
| dc.contributor.author | Escolà i Agustí, Alexandre | |
| dc.contributor.author | Arnó Satorra, Jaume | |
| dc.date.accessioned | 2022-11-22T08:39:27Z | |
| dc.date.available | 2022-11-22T08:39:27Z | |
| dc.date.issued | 2019 | |
| dc.description | Poster Proceedings of the 12th European Conference on Precision Agriculture, July 8-11, Montpellier, France. pp. 114-115. e-book publication. SupAgro Montpellier. ISBN 978-2-900792-49-0 | |
| dc.description.abstract | In the process of electronic canopy characterization, it is necessary to process efficiently point clouds obtained by means of sensors or other capturing information systems. These point clouds may have different origin but they define the main structural characteristics of the scanned crop. For this reason, a fast, easy-to-configure and precise methodology is necessary to extract such information. The work presented in this poster defines the main features of a procedure carried out with R Software code. | ca_ES |
| dc.description.sponsorship | This work was partly funded by the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya and the Spanish Ministry of Economy and Competitiveness under Grants 2017 SGR 646, AGL2013-48297-C2-2-R and RTI2018-094222-B-I00(PAgFRUIT). The work of Jordi Llorens was supported by Spanish Ministry of Economy, Industry and Competitiveness through a postdoctoral position named Juan de la Cierva Incorporació (JDCI-2016-29464_N18003). | ca_ES |
| dc.identifier.uri | http://hdl.handle.net/10459.1/84290 | |
| dc.language.iso | eng | ca_ES |
| dc.relation | info: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 | info:eu-repo/grantAgreement/MINECO//AGL2013-48297-C2-2-R/ES/HERRAMIENTAS DE BASE FOTONICA PARA LA GESTION AGRONOMICA Y EL USO DE PRODUCTOS FITOSANITARIOS SOSTENIBLE EN CULTIVOS ARBOREOS EN EL MARCO DE LA AGRICULTURA DE PRECISION/ | ca_ES |
| dc.relation.ispartof | The 12th European Conference on Precision Agriculture. 8-11 July 2019. Montpellier (France) http://ecpa2019.agrotic.org/#ecpa19 | ca_ES |
| dc.rights | (c) J. Llorens et al., 2019 | ca_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_ES |
| dc.subject | R software code | ca_ES |
| dc.subject | 3D Lidar point clouds | ca_ES |
| dc.title | R software code to process and extract information from 3D Lidar point clouds | ca_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | ca_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | ca_ES |