I.A. Sidorov1, A.G. Gudkov2, E.P.Novichickin3, N.F. Khokhlov4, A.G. Bolotov5, S.V.Chizhikov6, V.E. Pchelintsev7, V.S. Sinavchian8

1–8 Bauman Moscow State Technical University (Moscow, Russia)
 2 LLC Research and Production Innovation Firm HYPERION (Moscow, Russia)
 3 V. A. Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences (Moscow, Russia)
 4, 5 K.A. Timiryazev Moscow Agricultural Academy
 

The introduction of precision farming technologies into the practice of agricultural production is an urgent task, the solution this task would ensure the sustainable development of crop production, cost reduction and saving of water resources. Continuous monitoring of the main physico-chemical parameters that determine the yield of crops – the amount of heat, light and moisture received by plants, as well as monitoring of the biochemical composition of the soil that determines fertility is necessary. The existing standard methods for determining soil moisture are too long, expensive and insufficiently prompt. A promising method of solving this problem is the method of passive remote sensing of the Earth's surface using microwave radiometers.

The purpose of the work is to demonstrate the results of field experiments on remote determination of soil moisture portraits made in various climatic zones using a new bipolarization microwave radiometer from a UAV and ground–based mobile platforms.

Field experiments on remote determination of portraits of humidity and temperature of the soil surface in the Krasnodar Territory, the Moscow region and the Republic of Crimea were carried out. Maps of portraits of soil moisture and temperature of the soil surface were obtained. Electromagnetic compatibility of the microwave radiometer with mobile carrier systems has been verified. Data have been prepared for entering into the database of radiometric measurements of soils.

The work carried out will permit to clarify some parameters of the microwave radiometric system. The accumulation of a database of radiometric measurements will allow the use of artificial intelligence technologies in the future to refine the brightness-humidity conversion algorithms and the introduction of the developed equipment and algorithms into the technological processes of growing crops ensures the sustainable development of crop production technologies, increasing yields and obtaining additional profit by the agro-industrial complex.

Sidorov I.A., Gudkov A.G., Novichickin E.P., Khokhlov N.F., Bolotov A.G., Chizhikov S.V., Pchelintsev V.E., Sinavchian V.S. The field experiments results on remote determination of soil moisture portraits (part 2). Nanotechnology: development and applications – XXI century. 2023. V. 15. № 1. P. 41–53. DOI: https://doi.org/10.18127/j22250980-202301-04 (in Russian)

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