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dc.contributor.authorDel Moral Martínez, Ignacio
dc.contributor.authorRosell Polo, Joan Ramon
dc.contributor.authorUribeetxebarria Alonso de Armiño, Asier
dc.contributor.authorArnó Satorra, Jaume
dc.date.accessioned2020-05-25T09:56:40Z
dc.date.issued2020-05-18
dc.identifier.issn1537-5110
dc.identifier.urihttp://hdl.handle.net/10459.1/68835
dc.description.abstractA geostatistical methodology is presented to optimise the dosage of plant protection products (PPP) in vineyards with spatial variability. Sprayers are commonly used in viticulture to apply a constant volume rate per unit ground area (l ha−1). This can be a problem in vineyard plots with remarkable spatial variability in vine vigour, being necessary guiding winegrowers through a decision-making tool to determine an appropriate uniform volume rate. The leaf area index (LAI), measured by a terrestrial LiDAR scanner at high spatial resolution along crop rows, can be used to determine the optimum volume application rate. The proposed method is based on obtaining different probability maps of LAI by applying an indicator kriging to the original LAI data. As a result, this method allows winegrowers to i) map and locate areas within the plot that, within a given confidence level (70% or 90%), exceed or do not exceed different values (percentiles) of the original LAI, and ii) set the LAI and the corresponding volume rate seeking, for example, to balance the probability (risk) of areas with lower and higher doses than required. In more conservative protection strategies, the method also allows farmers to set the values of LAI and volume rate that greatly minimise the probability of vulnerable areas being underdosed.
dc.description.sponsorshipThis work was partially funded by the Ministerio de Economía y Competitividad, Spain [research projects SAFESPRAY - AGL2010-22304-C04-03 and AGVANCE – AGL2013-48297-C2-2-R].
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.publisherAcademic Press
dc.relationMICINN/PN2008-2011/AGL2010-22304-C04-03
dc.relationMINECO/PN2013-2016/AGL2013-48297-C2-2-R
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.biosystemseng.2020.04.014
dc.relation.ispartofBiosystems Engineering, 2020, vol. 195, p. 17-26
dc.rightscc-by-nc-nd (c) Academic Press, 2020
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.subjectPrecision crop protection
dc.subjectViticulture
dc.subjectKriging
dc.subjectDose optimization
dc.subjectLAI probability map
dc.titleSpatially variable pesticide application in vineyards: Part I, developing a geostatistical approach
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2020-05-25T09:56:41Z
dc.identifier.idgrec029987
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.identifier.doihttps://doi.org/10.1016/j.biosystemseng.2020.04.014
dc.date.embargoEndDate2022-05-18


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cc-by-nc-nd (c) Academic Press, 2020
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Academic Press, 2020