A.G. Bolotov1, E.V. Shein2, I.A. Sidorov3

1 Russian State Agrarian University – Moscow Timiryazev Agricultural Academy (Moscow, Russia)

2 M.V. Lomonosov Moscow State University (Moscow, Russia)

3 Bauman Moscow State Technical University (Moscow, Russia)

3 JSC «Radio Engineering Corporation «Vega» (Moscow, Russia)

When introducing a system of adaptive landscape farming into practice, accounting for soil moisture determined by traditional methods is impossible or difficult due to their laboriousness and low accuracy on the scale of the agricultural landscape. To solve this problem, it is proposed to use an information-measuring approach, which is based on a combination of instrumental measurements of soil moisture with calculated results, which will significantly expand the range of soil-hydrothermal studies. To reduce the share of instrumental resources in the system, it is proposed to measure the state of only the upper soil layer, and to calculate the necessary data on the underlying horizons using mathematical modeling software modules with constant correction of the model parameters according to the available reference instrumental measurements.

An experimental determination of soil moisture and its mathematical modeling with a change in the boundary conditions at the input of the model has been carried out. The most sensitive parameters of the model to changes in the input characteristics are revealed. The application of the information-measuring approach will allow expanding the range of soil-hydrothermal studies on the scale of the agricultural landscape while achieving an accuracy sufficient for practice in determining soil moisture. The use of remote sensing methods as the upper boundary condition will significantly reduce the work on the experimental support of the mathematical model of moisture transfer in soil.

Bolotov A.G., Shein E.V., Sidorov I.A. Method for determining soil moisture in the system of adaptive landscape farming. Nanotechnology: development and applications – XXI century. 2021 V. 13. № 4. P. 10–14. DOI: https://doi.org/10.18127/j22250980-20210402 (in Russian)

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