Monitoring of the temperature and soil moisture relief of the agricultural areas with the adaptation of microwave radiometry methods

N.F. Khokhlov; I.A. Sidorov; A.G. Gudkov; E.P. Novichikhin; S.V. Chizhikov

doi:10.18127/j20700997-202404-14

Monitoring of the temperature and soil moisture relief of the agricultural areas with the adaptation of microwave radiometry methods

N.F. Khokhlov¹, I.A. Sidorov², A.G. Gudkov³, E.P. Novichikhin⁴, S.V. Chizhikov⁵

research article UDC 621.382 Pages: 138-148 doi.org/10.18127/j20700997-202404-14

^1,2,3,5 Bauman Moscow State Technical University (Moscow, Russia)
⁴ Bauman Moscow State Technical University (Moscow, Russia); Fryazino Branch of the V.A. Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences (Fryazino, Moscow region, Russia)

Keywords: Microwave radiometer adaptation humidity and temperature regime remote sensing UAVs agrodrons precise agricultur-al technologies soil moisture "swarm of drones"agricultural landscapes of the Non-Chernozem zone

Abstract

The paper discusses the adaptive aspects of the inclusion of aeromobile microwave humidity-temperature radiometry in unmanned agricultural technologies of the Non-Chernozem region. Within the framework of trends in scientific and technological policy, approaches and possibilities of combining production operations with obtaining promising information on the platform of commercial agrodrones and research complexes are analyzed. An algorithm for accounting for vegetation cover in solving the inverse problem of calculating soil moisture by its own radiation is given. The necessary adaptive measures for the successful implementation of the drone swarm technology in crop production and information systems are considered.

Received: 19.04.2024
Approved after review: 19.04.2024
Accepted: 22.10.2024

How to cite

Хохлов Н.Ф., Сидоров И.А., Гудков А.Г., Новичихин Е.П., Чижиков С.В. Мониторинг температурного и влажностного рельефа сельскохозяйственных угодий с адаптацией методов микроволновой радиометрии // Технологии живых систем. 2024. T. 21. № 4. С. 138-148. DOI: https://doi.org/10.18127/j20700997-202404-14

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[1] Andreeva N. Izmenit' nauku. Atomnyj ekspert. 2021. № 4. https://atomicexpert.com/change_science (in Russian).

[2] Eremenko E.A., Panin A.V. Lozhbinnyj mezorel'ef Vostochno-Evropejskoj ravniny. M.: MIROS. 2010. 192s. (in Russian).

[3] Sidorov I.A., Gudkov A.G., Oblivancov V.V., Ermolov P.P., Novichihin E.P., Leushin V.YU., Agandeev R.V. Radiometricheskoe distancionnoe opredelenie portretov vlazhnosti pochvy na vinogradnike v Krymu. Elektromagnitnye volny i elektronnye sistemy. 2022. T. 27. № 5. S. 65−70. DOI: https://doi.org/10.18127/j15604128-202205-09 (in Russian).

[4] Queiroz D.M., Coelho A.L.F., Valente D.S.M., Schueller J.K. Sesors applied to digital Agriculture: A review- Artigo Cientifico, Rev. Ciȇnc. Agron. 51(spe). 2020. https://doi.org/10.5935/1806-6690.20200086

[5] Sajt Potsdamskogo instituta agroinzhenenrii i bioekonomiki ATV (FRG) www.atb-potsdam.de (in Russian).

[6] Agrodrony. Preimushchestva i primenenie. https://www.geomir.ru/publikatsii/agrodrony/ (in Russian).

[7] Drohnen Schwarmflug (UPWAPDSII) Sajt Branderburgskogo tekhnicheskogo universiteta. https://icampus-cottbus.de/drohnen-schwarmflug/

[8] Postanovlenie pravitel'stva RF 14 maya 2021 № 731 « O Gosudarstvennoj programme effektivnogo vovlecheniya v oborot zemel' sel'skohozyajstvennogo naznacheniya i razvitiya meliorativnogo kompleksa Rossijskoj Federacii» http://gov.garant.ru/SESSION/ PILOT/main.htm (in Russian).

[9] China΄s Agriculture. Drone Revolution. Disruption in the Agriculture Ecosystem. 2019 Ipsos Busness Consulting, P. 27. https://www.ipsos.com/sites/default/files/ct/publication/documents/2020-10/china-agriculture-drones.pdf

[10] Miccinesi L., Beni A., Massimiano P. UAS-Borne Sensing: A Review. Elektroniks. 2022. V. 11(20). P. 3324. DOI: 10.3390/electronics11203324

[11] Primenenie BPLA v gornodobyche i geologorazvedke. https://dprom.online/mtindustry/primenenie-bpla/ (in Russian).

[12] Advancing airborne autonomy. Commercial drones saving money and saving lives in the UK. HM. Government., 2020. p. 51. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1091358/drone-ambition-statement.pdf

[13] Oviesgharan S., Haddad Z, Turk J., Rodriguez E., Li L. Soil Moisture and Vegetation Water Content Retrieval Using QuikSCAT Data. Remote Sens. 2018. V. 10(4). P. 636. DOI: 10.3390/rs10040636

[14] Du M., Noguchi N. Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System. Remote Sens. 2017. V. 9(3). P. 289. DOI: 10.3390/rs9030289

[15] Gracia-Romero A., Vergara-Diaz., Thierfelder Ch., Cairns J.E. et all. Phenotyping Conservation Agriculture Management Effects on Ground and Aerial Remote Sensing Assessments of Maize Hybrids Performance in Zimbabwe. Remote Sens. 2018. V. 10(2). P. 349. DOI: 10.3390/rs10020349

[16] Moeckel T., Dayananda S., Nidamanuri R., Nautiyal S. et all. Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images. Remote Sens. 2018. V. 10(5). P. 805. https://doi.org/10.3390/rs10050805

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