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Automatic arable land detection with supervised machine learning

dc.contributor.authorArango, R. B.
dc.contributor.authorDíaz Rodríguez, Susana Irene 
dc.contributor.authorCampos, Antonio
dc.contributor.authorCanas, E. R.
dc.contributor.authorFernández-Combarro Álvarez, Elías 
dc.date.accessioned2017-02-22T10:34:21Z
dc.date.available2017-02-22T10:34:21Z
dc.date.issued2016
dc.identifier.citationEarth Science Informatics, 9(4), p. 535-545 (2016); doi:10.1007/s12145-016-0270-6
dc.identifier.issn1865-0473
dc.identifier.urihttp://hdl.handle.net/10651/40372
dc.description.sponsorshipThis work has been supported Farm-Oriented Open Data in Europe (FOODIE) Pilot B from European Union’s Seventh Frame-work Programme for Research, Technological Development and Demonstration under grant agreement no. 621074
dc.format.extentp. 535-545
dc.language.isoeng
dc.relation.ispartofEarth Science Informatics
dc.rights© Springer-Verlag Berlin Heidelberg 2016
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84986269699&partnerID=40&md5=60f0dc4e095bb37e66b136aeac19c58a
dc.titleAutomatic arable land detection with supervised machine learning
dc.typejournal article
dc.identifier.doi10.1007/s12145-016-0270-6
dc.relation.projectIDFOODIE, Programme for Research, Technological Development and Demonstration under grant agreement no. 621074
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s12145-016-0270-6


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