Automatic arable land detection with supervised machine learning

dc.contributor.author	Arango, R. B.
dc.contributor.author	Díaz Rodríguez, Susana Irene
dc.contributor.author	Campos, Antonio
dc.contributor.author	Canas, E. R.
dc.contributor.author	Fernández-Combarro Álvarez, Elías
dc.date.accessioned	2017-02-22T10:34:21Z
dc.date.available	2017-02-22T10:34:21Z
dc.date.issued	2016
dc.identifier.citation	Earth Science Informatics, 9(4), p. 535-545 (2016); doi:10.1007/s12145-016-0270-6
dc.identifier.issn	1865-0473
dc.identifier.uri	http://hdl.handle.net/10651/40372
dc.description.sponsorship	This 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.extent	p. 535-545
dc.language.iso	eng
dc.relation.ispartof	Earth Science Informatics
dc.rights	© Springer-Verlag Berlin Heidelberg 2016
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986269699&partnerID=40&md5=60f0dc4e095bb37e66b136aeac19c58a
dc.title	Automatic arable land detection with supervised machine learning
dc.type	journal article
dc.identifier.doi	10.1007/s12145-016-0270-6
dc.relation.projectID	FOODIE, Programme for Research, Technological Development and Demonstration under grant agreement no. 621074
dc.relation.publisherversion	http://dx.doi.org/10.1007/s12145-016-0270-6

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