LiDAR-derived indices and their relationship with productivity and oil quality attributes in high-density olive orchards

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dc.contributor.authorSandonís Pozo, Leire
dc.contributor.authorRufat i Lamarca, Josep
dc.contributor.authorPascual Roca, Miquel
dc.contributor.authorVillar Mir, Josep Ma.
dc.contributor.authorArnó Satorra, Jaume
dc.contributor.authorEscolà i Agustí, Alexandre
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorMartínez Casasnovas, José Antonio
dc.date.accessioned2025-07-28T12:29:37Z
dc.date.available2025-07-28T12:29:37Z
dc.date.issued2025-07-18
dc.date.updated2025-07-28T12:29:37Z
dc.description.abstractOptimising the leaf area index (LAI) and light exposure are key aspects to improve yield and quality in highdensity olive orchards. Traditionally, these characteristics are estimated using ceptometers, but this method is both labour intensive and dependent on light conditions, with limitations in effectiveness for precision horticulture management purposes. This study investigates the potential of four LiDAR-derived indices to: i) estimate the LAI and canopy light interception under different fertigation treatments, and ii) to assess their impact on yield and oil quality throughout a growing season in a high-density olive orchard. The treatments included two nitrogen dose rates (N0: 0 kg ha-¹ and N50: 50 kg ha-¹) combined with full irrigation (FI) and deficit irrigation (DI). The results provide strong evidence for the effectiveness of these indices in monitoring canopy response to treatments over time. The N50 and FI treatments increased the LAI and yield but led to poorer light attenuation within the canopy and lower oil quality. In contrast, N0 and DI promoted more light-permeable canopies and improved oil quality, with higher phenolic content, better oxidative stability and improved organoleptic oil attributes. These indices can improve the understanding of canopy light environments, help to optimise management practices, and ultimately improve the sustainability and profitability of intensive olive cultivation.
dc.description.sponsorshipThis work was carried out with data acquired in the project IRTA2012–00059-C02–01 funded by Spain’s National Institute for Agricultural and Food Research and Technology, as well as in the projects AGL2010–22304-C04–03 and AGL2013–48297-C2–2-R funded by the Spanish Ministry of Economy and Competitiveness. The study was carried out under the framework of the grants RTI2018–094222-B-I00 (PAgFRUIT project) and PID2021–126648OB-I00 (PAgPROTECT project) through MCIN/AEI/10.13039/501100011033 and the European Union’s “ERDF, a way of making Europe”.
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.atech.2025.101213
dc.identifier.idgrec035640
dc.identifier.issn2772-3755
dc.identifier.urihttps://hdl.handle.net/10459.1/468463
dc.publisherElsevier
dc.relationinfo:eu-repo/grantAgreement/MICINN//AGL2010-22304-C04-03/ES/ESTRATEGIAS INTEGRALES PARA UNA UTILIZACION DE FITOSANITARIOS SEGURA Y EFICAZ. PULVERIZACION DE PRECISION Y MONITORIZACION DE LA DERIVA EN FRUTICULTURA/
dc.relationinfo:eu-repo/grantAgreement/MINECO//AGL2013-48297-C2-2-R/ES/HERRAMIENTAS DE BASE FOTONICA PARA LA GESTION AGRONOMICA Y EL USO DE PRODUCTOS FITOSANITARIOS SOSTENIBLE EN CULTIVOS ARBOREOS EN EL MARCO DE LA AGRICULTURA DE PRECISION/
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.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PID2021-126648OB-I00/ES/PROTECCION DE CULTIVOS DE PRECISION PARA CONSEGUIR OBJETIVOS DEL PACTO VERDE EUROPEO EN USO EFICIENTE Y REDUCCION DE FITOSANITARIOS MEDIANTE AGRICULTURA DE PRECISION/
dc.relation.isformatofhttps://doi.org/10.1016/j.atech.2025.101213
dc.relation.ispartofSmart Agricultural Technology, 2025, vol. 12, num. 101213, p. 1-11
dc.rightscc-by-nc, (c) Sandonís et al., 2025
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by- nc/4.0/
dc.subjectLiDAR
dc.subjectCanopy light interception
dc.subjectHigh-density olive orchards
dc.subjectLAI
dc.subjectLLI index
dc.subjectPhotosynthetically active radiation (PAR)
dc.subjectOil production
dc.subjectOil quality
dc.titleLiDAR-derived indices and their relationship with productivity and oil quality attributes in high-density olive orchards
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
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