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      <dc:title>R software code to process and extract information from 3D Lidar point clouds</dc:title>
      <dc:creator>Llorens Calveras, Jordi</dc:creator>
      <dc:creator>Cabrera Pérez, Carlos</dc:creator>
      <dc:creator>Escolà i Agustí, Alexandre</dc:creator>
      <dc:creator>Arnó Satorra, Jaume</dc:creator>
      <dc:subject>R software code</dc:subject>
      <dc:subject>3D Lidar point clouds</dc:subject>
      <dc:description>Poster Proceedings of the 12th European Conference on Precision&#xd;
Agriculture, July 8-11, Montpellier, France. pp. 114-115. e-book publication. SupAgro Montpellier. ISBN&#xd;
978-2-900792-49-0</dc:description>
      <dc:description>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.&#xd;
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&#xd;
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.</dc:description>
      <dc:description>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).</dc:description>
      <dc:date>2024-12-05T21:51:16Z</dc:date>
      <dc:date>2024-12-05T21:51:16Z</dc:date>
      <dc:date>2022-11-22T08:39:27Z</dc:date>
      <dc:date>2022-11-22T08:39:27Z</dc:date>
      <dc:date>2019</dc:date>
      <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
      <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
      <dc:identifier>http://hdl.handle.net/10459.1/84290</dc:identifier>
      <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/</dc:relation>
      <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/</dc:relation>
      <dc:relation>The 12th European Conference on Precision Agriculture. 8-11 July 2019. Montpellier (France) http://ecpa2019.agrotic.org/#ecpa19</dc:relation>
      <dc:rights>(c) J. Llorens et al., 2019</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
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