Abstract:This article presents an intelligent approach to the analysis of soil parameters using machine learning methods and statistical data analysis. Seasonal trends in changes in soil indicators were analyzed. The results of clustering revealed regions with similar parameters of humidity and air temperature. ARIMA and LSTM methods were used to predict the time series of soil moisture, light and air temperature parameters. An intelligent approach to the analysis of soil parameters demon… Show more
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