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dc.contributor.authorVisconti, Fernando
dc.contributor.authorDe-Paz, José M.
dc.date.accessioned2021-05-07T13:24:43Z
dc.date.available2021-05-07T13:24:43Z
dc.date.issued2021es
dc.identifier.citationVisconti, F., & de-Paz, J. M. (2021). Sensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk density. Precision Agriculture, 2021,1-19.es
dc.identifier.issn1385-2256 (Print-ISSN)
dc.identifier.issn1573-1618 (e-ISSN)
dc.identifier.urihttp://hdl.handle.net/20.500.11939/7333
dc.description.abstractObserved variations in the ground electrical conductivity (σb*) measurements obtained with EMI instruments depend on several soil proxies that infuence crop growth and development such as salinity (σe), contents of water (θw), clay (wc) and organic matter (wom) and bulk density (ρb). However, the relative contributions of all these to σb* are unknown. This knowledge is needed to improve the planning and interpretation of σb* data for precision agriculture applications. Recently, a semi-empirical model has been developed to relate σb* measurements taken with an EM38 device to σe, θw, wc, wom and ρb and also soil temperature (t). In this work this model was subjected to a global sensitivity analysis (GSA) based on the soil data obtained during two surveys carried out, one in summer and the other in autumn, in an ample irrigated area in SE Spain. On the basis of the multiple linear regression meta-models developed for the σb* measurements, these were found to linearly respond to the soil properties (R2 between 0.92 and 0.96) and thus, the GSA could be based on their standardised regression coefcients. According to these, the soil characteristics explain the following percentages of variance in σb* (PV): 30–34 (σe), 8–20 (θw), 32–47 (wc), 0.6–2.6 (wom), 5.7–7.5 (ρb) and 0.3–0.4 (t) with changes from the summer to the autumn season of − 4, − 12 and+15 in the PV explained by the most infuential properties, respectively, σe, θw and wc. The results of the GSA will help the planning and interpretation of σb* measurements for improving crop management.es
dc.language.isoenes
dc.publisherSpringeres
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSensitivity analysises
dc.subjectElectromagnetic inductiones
dc.titleSensitivity of soil electromagnetic induction measurements to salinity, water content, clay, organic matter and bulk densityes
dc.typearticlees
dc.authorAddressvisconti_fer@gva.eses
dc.entidadIVIACentro para el Desarrollo de la Agricultura Sosteniblees
dc.identifier.doi10.1007/s11119-021-09798-8es
dc.identifier.urlhttps://link.springer.com/article/10.1007/s11119-021-09798-8es
dc.journal.issueNumber2021es
dc.journal.titlePrecision Agriculturees
dc.page.final19es
dc.page.initial1es
dc.relation.projectIDThe first survey of this project was carried out within Project GV 0461/2006, funded by the Generalitat Valenciana.es
dc.relation.projectIDThe second one within Projects CGL2009-14592-C02-01 and CGL2009-14592-C02-02 funded by the Ministerio de Ciencia e Innovación from the Government of Spain and additionally within project Val i+d APOSTD/2010/029 (F. Visconti), funded by the Generalitat Valenciana.es
dc.rights.accessRightsopenAccesses
dc.source.typeelectronicoes
dc.subject.agrisN01 Agricultural engineeringes
dc.subject.agrisP10 Water resources and managementes
dc.subject.agrisP33 Soil chemistry and physicses
dc.subject.agrisP30 Soil science and managementes
dc.subject.agrisP34 Soil biologyes
dc.subject.agrovocSalinityes
dc.subject.agrovocWater contentes
dc.subject.agrovocTexturees
dc.subject.agrovocOrganic matteres
dc.type.hasVersionpublishedVersiones


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