Assessment of different N treatments in Hedgerow Almond Orchards by means of LiDAR point clouds

dc.contributor.authorSandonís Pozo, Leire
dc.contributor.authorLlorens Calveras, Jordi
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorPascual Roca, Miquel
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.date.accessioned2022-11-07T09:47:12Z
dc.date.available2022-11-07T09:47:12Z
dc.date.issued2022
dc.description.abstractMonitoring of canopy status in fruit tree orchards allows better decisions in the canopy management, such as pruning or fertirrigation. LiDAR is an effective tool to acquire accurate 3D geometric and structural data, such as height, width, volume or canopy porosity, among others. In the present work, a super-intensive almond orchard (Prunus Dulcis) with 8 different N treatments (N50, N100, N150, NStop: N100 only in Fase I and with and without DMPSA nitrification inhibitor in 24 rows and 3 blocks, was scanned during three years (2019-21) in two different vegetative stages (after spring pruning and before harvesting) by means of a terrestrial LiDAR scanner. Canopy parameters such maximum height and width, cross section and porosity were summarized from the LiDAR 3D point cloud every 0.5 m along the almond tree hedgerows. A repeated measure mixed statistical model was applied to each parameter in order to assess the effect of the N treatments. The adjusted R2 ranged from 0.73 of the canopy width to 0.83 of the porosity. Canopy parameters and their main interactions with the different treatments were significantly differentiated. The N100+DMPSA treatment was the one favoring higher canopy development (higher cross sections and widths, and less porosity), while the NStop+DMPSA treatment was related to lower canopy development and higher porosity.ca_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Science, Innovation and Universities through the project PAgFRUIT (RTI2018-094222 -B-I00). Also this work was supported by Secretaria d’Universitats i Recercadel del Departament d’Empresa i Coneixement de la Generalitat Generalitat de Catalunya under Grant 2017-SGR-646.
dc.format.extent22 p.
dc.identifier.urihttp://hdl.handle.net/10459.1/84121
dc.language.isoengca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094222-B-I00/ES/TECNOLOGIAS DE AGRICULTURA DE PRECISION PARA OPTIMIZAR EL MANEJO DEL DOSEL FOLIAR Y LA PROTECCION FITOSANITARIA SOSTENIBLE EN PLANTACIONES FRUTALES/
dc.relation.ispartofXXI International N Workshop: Halving nitrogen waste by 2030. Polytechnic University. October 24-28, 2022. Madridca_ES
dc.rights(c) Leire Sandonís et al., 2022ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.subjectN treatmentsca_ES
dc.subjectHedgerow Almond Orchardsca_ES
dc.subjectLiDAR point cloudsca_ES
dc.titleAssessment of different N treatments in Hedgerow Almond Orchards by means of LiDAR point cloudsca_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
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