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

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Issue date
2017-01-01
Author
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
Suggested citation
Escolà i Agustí, Alexandre; Martínez Casasnovas, José Antonio; Rufat i Lamarca, Josep; Arnó Satorra, Jaume; Arbonés, Amadeu; Sebé Feixas, Francesc; ... Rosell Polo, Joan Ramon. (2017) . Mobile terrestrial laser scanner applications in precision fruticulture/ horticulture and tools to extract information from canopy point clouds. Precision Agriculture, 2017, vol. 18, núm.1, p. 111-132. https://doi.org/10.1007/s11119-016-9474-5.
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Abstract
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.
URI
http://hdl.handle.net/10459.1/62753
DOI
https://doi.org/10.1007/s11119-016-9474-5
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Precision Agriculture, 2017, vol. 18, núm.1, p. 111-132
European research projects
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  • Publicacions de projectes de recerca del Plan Nacional [2172]
  • Articles publicats (Agrotecnio Center) [927]
  • Articles publicats (Grup de Recerca en AgròTICa i Agricultura de Precisió) [101]
  • Articles publicats (Hortofructicultura, Botànica i Jardineria) [174]
  • Articles publicats (Matemàtica) [263]
  • Articles publicats (Medi Ambient i Ciències del Sòl) [374]
  • Articles publicats (Enginyeria Agroforestal) [333]

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