Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds

LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. In this work, a self-developed mobile terrestrial laser scanner based on a 2D light detection and ranging (LiDAR) sensor was used to scan an intensive olive orchard, and different algorithms were deve...

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Authors: Escolà i Agustí, Alexandre; Martínez Casasnovas, José Antonio; Rufat i Lamarca, Josep; Arnó Satorra, Jaume; Arbonés, Amadeu; Sebé Feixas, Francesc; Pascual Roca, Miquel; Gregorio López, Eduard; Rosell Polo, Joan Ramon
Format: Article
Status:Accepted version
Publication date:2017
Country:España
Institution:Universitat de Lleida (UdL)
Repository:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/62753
Online Access:https://doi.org/10.1007/s11119-016-9474-5
http://hdl.handle.net/10459.1/62753
Access Level:Open access
Keyword:LiDAR
Canopy modelling
Precision Fructiculture
Olive orchard
Mobile terrestrial laser scanner
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author Escolà i Agustí, Alexandre
author2 Martínez Casasnovas, José Antonio
Rufat i Lamarca, Josep
Arnó Satorra, Jaume
Arbonés, Amadeu
Sebé Feixas, Francesc
Pascual Roca, Miquel
Gregorio López, Eduard
Rosell Polo, Joan Ramon
author2_role author
author
author
author
author
author
author
author
author_browse Arbonés, Amadeu
Arnó Satorra, Jaume
Escolà i Agustí, Alexandre
Gregorio López, Eduard
Martínez Casasnovas, José Antonio
Pascual Roca, Miquel
Rosell Polo, Joan Ramon
Rufat i Lamarca, Josep
Sebé Feixas, Francesc
author_facet Escolà i Agustí, Alexandre
Martínez Casasnovas, José Antonio
Rufat i Lamarca, Josep
Arnó Satorra, Jaume
Arbonés, Amadeu
Sebé Feixas, Francesc
Pascual Roca, Miquel
Gregorio López, Eduard
Rosell Polo, Joan Ramon
author_role author
collection Repositori Obert UdL
description LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. In this work, a self-developed mobile terrestrial laser scanner based on a 2D light detection and ranging (LiDAR) sensor was used to scan an intensive olive orchard, and different algorithms were developed to estimate canopy volume. Canopy volume estimations derived from LiDAR sensor readings were compared to conventional estimations used in fruticulture/horticulture research and the results prove that they are equivalent with coefficients of correlation ranging from r = 0.56 to r = 0.82 depending on the algorithms used. Additionally, tools related to analysis of point cloud data from the LiDAR-based system are proposed to extract further geometrical and structural information from tree row crop canopies to be offered to farmers and technical advisors as digital raster maps. Having high spatial resolution information on canopy geometry (i.e., height, width and volume) and on canopy structure (i.e., light penetrability, leafiness and porosity) may result in better orchard management decisions. Easily obtainable, reliable information on canopy geometry and structure may favour the development of decision support systems either for irrigation, fertilization or canopy management, as well as for variable rate application of agricultural inputs in the framework of precision fruticulture/horticulture.
eu_rights_str_mv openAccess
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id ES_daafb91c6cde47b88ebbe4c083b2efca
institution Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
network_acronym_str ES
network_name_str España
oai_identifier_str oai:repositori.udl.cat:10459.1/62753
publishDate 2017
publishDateSort 2017
publisher Springer Science+Business Media
publisherStr Springer Science+Business Media
reponame_str Repositori Obert UdL
spelling Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds Escolà i Agustí, Alexandre Martínez Casasnovas, José Antonio Rufat i Lamarca, Josep Arnó Satorra, Jaume Arbonés, Amadeu Sebé Feixas, Francesc Pascual Roca, Miquel Gregorio López, Eduard Rosell Polo, Joan Ramon LiDAR Canopy modelling Precision Fructiculture Olive orchard Mobile terrestrial laser scanner LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. In this work, a self-developed mobile terrestrial laser scanner based on a 2D light detection and ranging (LiDAR) sensor was used to scan an intensive olive orchard, and different algorithms were developed to estimate canopy volume. Canopy volume estimations derived from LiDAR sensor readings were compared to conventional estimations used in fruticulture/horticulture research and the results prove that they are equivalent with coefficients of correlation ranging from r = 0.56 to r = 0.82 depending on the algorithms used. Additionally, tools related to analysis of point cloud data from the LiDAR-based system are proposed to extract further geometrical and structural information from tree row crop canopies to be offered to farmers and technical advisors as digital raster maps. Having high spatial resolution information on canopy geometry (i.e., height, width and volume) and on canopy structure (i.e., light penetrability, leafiness and porosity) may result in better orchard management decisions. Easily obtainable, reliable information on canopy geometry and structure may favour the development of decision support systems either for irrigation, fertilization or canopy management, as well as for variable rate application of agricultural inputs in the framework of precision fruticulture/horticulture. This work was funded by the Spanish Ministry of Economy and Competitiveness through the projects SAFESPRAY (AGL2010-22304-C04-03) and AgVANCE (AGL2013-48297-C2-2-R) and by the project Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria RTA2012-00059-C02-01. Springer Science+Business Media https://doi.org/10.1007/s11119-016-9474-5 http://hdl.handle.net/10459.1/62753
spellingShingle Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
Escolà i Agustí, Alexandre
LiDAR
Canopy modelling
Precision Fructiculture
Olive orchard
Mobile terrestrial laser scanner
status_str acceptedVersion
title Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
title_full Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
title_fullStr Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
title_full_unstemmed Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
title_short Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
title_sort Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds
topic LiDAR
Canopy modelling
Precision Fructiculture
Olive orchard
Mobile terrestrial laser scanner
topic_facet LiDAR
Canopy modelling
Precision Fructiculture
Olive orchard
Mobile terrestrial laser scanner
url https://doi.org/10.1007/s11119-016-9474-5
http://hdl.handle.net/10459.1/62753