Application of automated soil condition monitoring technology for intelligent digital platforms

A stationary system for automated measurement of soil hydrothermal regimes has been theoretically substantiated and developed. This system was used to conduct regular experimental studies of layer-by-layer moisture and temperature, as well as the groundwater depth, in the Tver Region (VNIMZ Experimental Field) on agrosod-podzolic gleyed light loamy soils. These data were used to construct chronoisopleth maps of moisture and temperature using digital methods. Using layer-by-layer values of soilhydrological constants (SHC), determined from the main hydrophysical characteristics, the soil water regime was analyzed, identifying periods of gravitational runoff, swampiness and soil drought in the annual cycle. Throughout the year, the studied soil layer experiences periods of excess and deficiency of moisture for plants, as well as periods of rapid changes in moisture and temperature throughout the profile due to meteorological conditions, particularly in late October, early November, and late April. This requires appropriate agronomic and reclamation measures for the studied soils. Obtaining, accumulating, and processing quantitative digital data on soil water and temperature regimes enables the application of modern methods for analyzing dynamic soil properties within intelligent digital platforms, establishing strict quantitative correlation with meteorological data, identifying and predicting the onset of critical periods, and scientifically managing soil reclamation processes. 

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