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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