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dc.contributor.authorLlop Casamada, Jordi
dc.contributor.authorGil Moya, Emilio
dc.contributor.authorLlorens Calveras, Jordi
dc.contributor.authorMiranda Fuentes, Antonio
dc.contributor.authorGallart González-Palacio, Montserrat
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
dc.date.accessioned2017-03-31T10:30:19Z
dc.date.available2017-03-31T10:30:19Z
dc.date.issued2016-09-01
dc.identifier.citationLlop, J., Gil, E., Llorens, J., Miranda-Fuentes, Antonio, Gallart, M. Testing the suitability of a terrestrial 2D LiDAR scanner for canopy characterization of greenhouse tomato crops. "Sensors", 1 Setembre 2016, vol. 16, núm. 9, p. 1-14.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/2117/103143
dc.description.abstractCanopy characterization is essential for pesticide dosage adjustment according to vegetation volume and density. It is especially important for fresh exportable vegetables like greenhouse tomatoes. These plants are thin and tall and are planted in pairs, which makes their characterization with electronic methods difficult. Therefore, the accuracy of the terrestrial 2D LiDAR sensor is evaluated for determining canopy parameters related to volume and density and established useful correlations between manual and electronic parameters for leaf area estimation. Experiments were performed in three commercial tomato greenhouses with a paired plantation system. In the electronic characterization, a LiDAR sensor scanned the plant pairs from both sides. The canopy height, canopy width, canopy volume, and leaf area were obtained. From these, other important parameters were calculated, like the tree row volume, leaf wall area, leaf area index, and leaf area density. Manual measurements were found to overestimate the parameters compared with the LiDAR sensor. The canopy volume estimated with the scanner was found to be reliable for estimating the canopy height, volume, and density. Moreover, the LiDAR scanner could assess the high variability in canopy density along rows and hence is an important tool for generating canopy maps.
dc.format.extent14 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Agricultura::Horticultura
dc.subject.lcshTomatoes--Yields
dc.subject.otherGreenhouse
dc.subject.otherTomato crop
dc.subject.otherLiDAR sensor
dc.subject.otherCanopy characterization
dc.subject.otherLeaf Area Index (LAI)
dc.subject.otherAgrotech
dc.titleTesting the suitability of a terrestrial 2D LiDAR scanner for canopy characterization of greenhouse tomato crops
dc.typeArticle
dc.subject.lemacTomaquera -- Experimentació
dc.contributor.groupUniversitat Politècnica de Catalunya. ASQUAS - Agricultura Sostenible i Qualitat dels Aliments
dc.identifier.doi10.3390/s16091435
dc.relation.publisherversionhttp://www.mdpi.com/1424-8220/16/9/1435
dc.rights.accessOpen Access
local.identifier.drac19331991
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/6PN/AGL2010-22304-C04-03
local.citation.authorLlop, J.; Gil, E.; Llorens, J.; Miranda-Fuentes, Antonio; Gallart, M.
local.citation.publicationNameSensors
local.citation.volume16
local.citation.number9
local.citation.startingPage1
local.citation.endingPage14


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain