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dc.contributor.authorGuimaraes RMLen
dc.contributor.authorLamande Men
dc.contributor.authorMunkholm LJen
dc.contributor.authorBall BCen
dc.contributor.authorKeller Ten
dc.date.accessioned2017-04-19T11:00:58Z
dc.date.available2017-04-19T11:00:58Z
dc.date.issued2017
dc.identifier.citation173
dc.identifier.issn0167-1987
dc.identifier.urihttps://doi.org/10.1016/j.still.2017.01.016
dc.identifier.urihttp://hdl.handle.net/11262/11222
dc.description.abstractAs the use of visual soil evaluation (VSE) methods has spread globally, they have been exposed to different climatic and pedological scenarios, resulting in the need to elucidate limitations, encourage refinements and open up new avenues of research. The main objective of this paper is to outline the potential of VSE methods to develop novel soil structure research and how this potential could be developed and integrated within existing research. We provide a brief overview of VSE methods in order to summarize the soil information that is obtained by VSE. More detailed VSE methods could be developed to provide spatial information for soil process models, e.g. compaction models. VSE could be combined with sensing techniques at the field or landscape scale for better management of fields in the context of precision farming. Further work should be done to integrate plant vigour, roots and soil fauna into VSE methods to provide general indicators of soil quality and for estimation of environmental risk factors related to soil C storage, GHG emissions and nutrient leaching, with particular reference to temporal changes. There is a great potential in combining (rather than comparing) VSE with measurements of soil structure, i.e. integrating VSE in soil structure and compaction research, as these methods provide spatial information that is difficult to obtain with other methods.en
dc.description.sponsorshipScottish Government RESAS Strategic Research Programme (RD2.3.4)
dc.language.isoenen
dc.relation.isformatof14584en
dc.relation.ispartofSoil and Tillage Researchen
dc.rightsCopyright © 2017 Elsevier B.V. All rights reserved. This manuscript version is made available after the end of the 24 month embargo period under the CC-BY-NC-ND 4.0 license.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSoil qualityen
dc.subjectModellingen
dc.subjectSensingen
dc.subjectSoil compactionen
dc.subjectSoil managementen
dc.titleOpportunities and future directions for visual soil evaluation methods in soil structure researchen
dc.typeArticleen
dc.description.versionAccepted manuscript
dc.extent.pageNumbers104-113
rioxxterms.publicationdate2017-02-21
rioxxterms.typeJournal Article/Reviewen
dcterms.dateAccepted2017-01-27
refterms.accessExceptionpublicationExceedsMaxEmbargoen
refterms.accessExceptionExplanation24 month embargoen
refterms.dateDeposit2017-04-19
refterms.dateEmbargoEnd2019-02-21
refterms.dateFreeToDownload2019-02-21
refterms.dateFreeToRead2019-02-21
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionAMen


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Copyright © 2017 Elsevier B.V. All rights reserved.
This manuscript version is made available after the end of the 24 month embargo period under the CC-BY-NC-ND 4.0 license.
Except where otherwise noted, this item's license is described as Copyright © 2017 Elsevier B.V. All rights reserved. This manuscript version is made available after the end of the 24 month embargo period under the CC-BY-NC-ND 4.0 license.