Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning-Reference-Cited by-同舟云学术

Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

Published:2017-08-02 Issue:1 Volume:109 Page:77-102
ISSN:1385-1314
Container-title:Nutrient Cycling in Agroecosystems
language:en
Short-container-title:Nutr Cycl Agroecosyst

Author:

Hengl Tomislav^ORCID,Leenaars Johan G. B.,Shepherd Keith D.,Walsh Markus G.,Heuvelink Gerard B. M.,Mamo Tekalign,Tilahun Helina,Berkhout Ezra,Cooper Matthew,Fegraus Eric,Wheeler Ichsani,Kwabena Nketia A.

Funder

Bill and Melinda Gates Foundation

Publisher

Springer Science and Business Media LLC

Subject

Soil Science,Agronomy and Crop Science

Link

http://link.springer.com/article/10.1007/s10705-017-9870-x/fulltext.html

Reference63 articles.

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2. Alloway BJ (2008) Micronutrients and crop production: An introduction. In: Micronutrient deficiencies in global crop production, Springer, pp 1–39

3. Barber SA (1995) Soil nutrient bioavailability: a mechanistic approach. Wiley, Hoboken

4. Ben-Dor E, Chabrillat S, Demattê J, Taylor G, Hill J, Whiting M, Sommer S (2009) Using imaging spectroscopy to study soil properties. Remote Sens Environ 113:S38–S55

5. Biau G (2012) Analysis of a random forests model. J Mach Learn Res 13:1063–1095

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