Applied Mathematics

Vol.5 No.5(2014), Paper ID 44071, 10 pages

DOI:10.4236/am.2014.55079

 

Comparison of Machine Learning Regression Methods to Simulate NO3 Flux in Soil Solution under Potato Crops

 

J. G. Fortin, A. Morais, F. Anctil, L. E. Parent

 

Department of Civil and Water Engineering, Université Laval, Québec, Canada
Department of Civil and Water Engineering, Université Laval, Québec, Canada
Department of Civil and Water Engineering, Université Laval, Québec, Canada
Department of Soils and Agrifood Engineering, Université Laval, Québec, Canada

 

Copyright © 2014 J. G. Fortin, A. Morais, F. Anctil, L. E. Parent et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Fortin, J. , Morais, A. , Anctil, F. and Parent, L. (2014) Comparison of Machine Learning Regression Methods to Simulate NO3 Flux in Soil Solution under Potato Crops. Applied Mathematics, 5, 832-841. doi: 10.4236/am.2014.55079.

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