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00925njm 22002777a 4500 dc Llorens Calveras, Jordi author Cabrera Pérez, Carlos author Escolà i Agustí, Alexandre author Arnó Satorra, Jaume author 2022-11-22T08:39:27Z 2022-11-22T08:39:27Z 2019 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 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. 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). http://hdl.handle.net/10459.1/84290 R software code 3D Lidar point clouds R software code to process and extract information from 3D Lidar point clouds