Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds
Author:
Affiliation:
1. Federal University of Lavras, Brazil
2. Purdue University, USA
Publisher
FapUNIFESP (SciELO)
Subject
Agronomy and Crop Science,Animal Science and Zoology
Link
http://www.scielo.br/pdf/sa/v75n2/0103-9016-sa-75-02-0144.pdf
Reference36 articles.
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2. Relation of strength and mineralogical attributes in Brazilian Latosols;Ajayi A.E.;Soil and Tillage Research,2009
3. GIS-fuzzy logic based approach in modeling soil texture: using parts of the Clay Belt and Hornepayne region in Ontario Canada as a case study;Akumu C.E.;Geoderma,2015
4. Köppen's climate classification map for Brazil;Alvares C.A.;Meteorologische Zeitschrift,2013
5. Impact of tillage practices on organic carbon and nitrogen storage in cool humid soils of eastern Canada;Angers D.A.;Soil and Tillage Research,1997
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