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dc.contributor.authorLlop, Jordi
dc.contributor.authorGil Moya, Emilio
dc.contributor.authorLlorens Calveras, Jordi
dc.contributor.authorMiranda-Fuentes, Antonio
dc.contributor.authorGallart, Montserrat
dc.date.accessioned2017-04-27T09:50:45Z
dc.date.available2017-04-27T09:50:45Z
dc.date.issued2016
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10459.1/59551
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.description.sponsorshipThis work was funded by the Spanish Ministry of Economy and Competitiveness AgVANCE project AGL2013-48297-C2-1-R) and the European Regional Development Fund (ERDF), and Cátedra Syngenta—UPC agreement for support training and research activities.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMDPI
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-1-R
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/s16091435
dc.relation.ispartofSensors, 2016, vol. 16, num. 9, p. 1435-1449
dc.rightscc-by (c) Jordi Llop et al., 2016
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGreenhouse
dc.subjectTomato crop
dc.subjectlidar
dc.subjectcanopy characterization
dc.subjectLAI
dc.titleTesting the suitability of a terrestrial 2D LiDAR scanner for canopy characterization of greenhouse tomato crops
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2017-04-27T09:50:46Z
dc.identifier.idgrec024905
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.3390/s16091435


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cc-by (c) Jordi Llop et al., 2016
Except where otherwise noted, this item's license is described as cc-by (c) Jordi Llop et al., 2016