R software code to process and extract information from 3D Lidar point clouds
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Date
2019
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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.
Note
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
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The 12th European Conference on Precision Agriculture. 8-11 July 2019. Montpellier (France) http://ecpa2019.agrotic.org/#ecpa19
Collections
Comunicacions a congressos (Enginyeria Agroforestal)
Comunicacions a congressos (Agrotecnio Center)
Comunicacions a congressos (Grup de Recerca en AgròTICa i Agricultura de Precisió)
Comunicacions a congressos (Hortofructicultura, Botànica i Jardineria)
Publicacions de projectes de recerca del Plan Nacional
Comunicacions a congressos (Agrotecnio Center)
Comunicacions a congressos (Grup de Recerca en AgròTICa i Agricultura de Precisió)
Comunicacions a congressos (Hortofructicultura, Botànica i Jardineria)
Publicacions de projectes de recerca del Plan Nacional