Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument

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Developing an intelligent system for the prediction of soil properties with a portable mid-infrared instrument.

Highlights

•Different machine learning techniques have been tested to predict soil properties.
•The predicted soil properties are TC, TN, CEC, clay, silt and Na+.
•The best predictive machine learning technique has been the Gaussian Process.
•The Gaussian process is better compared to the traditional PLSR technique.
•The Gaussian Process is the candidate for the development of intelligent system.

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