Comparison of Machine Learning Regression Methods to Simulate NO<sub>3</sub> Flux in Soil Solution under Potato Crops

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Comparison of Machine Learning Regression Methods to Simulate NO₃ Flux in Soil Solution under Potato Crops"
written by J. G. Fortin, A. Morais, F. Anctil, L. E. Parent,
published by Applied Mathematics, Vol.5 No.5, 2014

has been cited by the following article(s):

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[5]	A Low-Complexity Machine Learning Nitrate Loss Predictive Model–Towards Proactive Farm Management in a Networked Catchment IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2901218

[6]	SVMLEACH – NK POTATO: A simple software tool to simulate nitrate and potassium co-leaching under potato crop Computers and Electronics in Agriculture, 2015 DOI:10.1016/j.compag.2014.11.025

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