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Using Data Mining to Assess the Effects of Bt Baize on Soil Microarthropods

dc.contributor.authorDebeljak, Marko
dc.contributor.authorCortet, Jérôme
dc.contributor.authorDemšar, Damjan
dc.contributor.authorDžeroski, Sašo
dc.contributor.editorHřebíček, J.
dc.contributor.editorRáček, J.
dc.date.accessioned2019-09-16T09:34:32Z
dc.date.available2019-09-16T09:34:32Z
dc.date.issued2005
dc.description.abstractWe investigate the effects of different factors (including climate and soil texture, crop type and farming practices), on the populations of soil microarthropods under agricultural field conditions. We use data mining to build predictive models that explicate these effects. The models built from data from three sites (two in France and one in Denmark) show a general positive effect of time since sowing and a specific negative effect of cultivating Bt maize at one of the three sites.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol112/0615.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27288
dc.publisherMasaryk University Brno
dc.relation.ispartofInformatics for Environmental Protection - Networking Environmental Information
dc.relation.ispartofseriesEnviroInfo
dc.titleUsing Data Mining to Assess the Effects of Bt Baize on Soil Microarthropodsde
dc.typeText/Conference Paper
gi.citation.publisherPlaceBrno
gi.conference.date2005
gi.conference.locationBrno
gi.conference.sessiontitleModelling, simulation and computing

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