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Soil moisture prediction using machine learning

Prediction of soil moisture in advance is useful to the farmers in the field of agriculture. In this paper we have used machine learning techniques such as linear regression, random forest for prediction of soil moisture. These techniques were applied on three different datasets collected from different online repositories. The performance of the predictor is evaluated on the basis of mean squared error(MSE) and coefficient of determination .The comparison result shows that randome forest is superior providing 0.78 accuracy.

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