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Journal Technologies of Living Systems №4 for 2024 г.
Article in number:
Monitoring of the temperature and soil moisture relief of the agricultural areas with the adaptation of microwave radiometry methods
Type of article: scientific article
DOI: 10.18127/j20700997-202404-14
UDC: 621.382
Authors:

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

1–5 Bauman Moscow State Technical University (Moscow, Russia)

4 Fryazino Branch of the V.A. Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences (Fryazino, Moscow region, Russia)

1 hohlov@rgau-msha.ru, 2 igorasidorov@yandex.ru, 3 profgudkov@gmail.com, 4 epnov@mail.ru, 5 chigikov95@mail.ru

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.

Pages: 138-148
For citation

Khokhlov N.F., Sidorov I.A., Gudkov A.G., Novichikhin E.P., Chizhikov S.V. Monitoring of the temperature and soil moisture relief of the agricultural areas with the adaptation of microwave radiometry methods. Technologies of Living Systems. 2024. V. 21. № 4.
Р. 138-148. DOI: https://doi.org/10.18127/j20700997-202404-14 (In Russian).

References
  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
Date of receipt: 19.04.2024
Approved after review: 19.04.2024
Accepted for publication: 22.10.2024