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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/19843
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dc.contributor.authorLisetskii, F. N.-
dc.contributor.authorPichura, V. I.-
dc.contributor.authorBreus, D. S.-
dc.date.accessioned2017-06-15T09:11:01Z-
dc.date.available2017-06-15T09:11:01Z-
dc.date.issued2017-
dc.identifier.citationLisetskii, F. N. Use of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soils / F. N. Lisetskii, V. I. Pichura, D. S. Breus // Russian agricultural sciences. - 2017. - Vol. 3, №2.-P. 157-161.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/19843-
dc.description.abstractThis paper reports the results obtained using the systemic basin approach, geoinformation, and neurotechnology for modeling and forecasting of the humus spatial inhomogeneity and content variations in the steppe and dry steppe zones (Kherson oblast, Ukraine)ru
dc.language.isoenru
dc.subjectagricultureru
dc.subjectpedologyru
dc.subjectsoil fertilityru
dc.subjecthumusru
dc.subjectmodelingru
dc.subjectforecastingru
dc.subjectmultivariate statisticsru
dc.subjectGIS technologiesru
dc.subjectneurotechnologiesru
dc.titleUse of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soilsru
dc.typeArticleru
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