Voronezh, Russian Federation
Russian Federation
631.58
681.518.3
IoT-information flow management in line with the interaction of field and analytical work in automated and robotic modes, are prevalent in the modern scientific landscape. Disclosure of the features of forming a relational database structure for storing data received from sensor devices in the field will reduce the cost of processing and subsequent analysis of information at the processing level of IoT management.
agrotechnology, agromonitoring, Internet of things, architecture of an intelligent control node, precision agriculture, relationships in datasets, automation, man-agement, soil, plant, atmosphere, surface layer
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2. Chesnokov, Yu. V. Biohimicheskie markery v geneticheskih issledovaniyah kul'turnyh rasteniy: primenimost' i ogranicheniya / Yu. V. Chesnokov // Sel'skohozyaystvennaya biologiya. – 2019. – T. 54, № 5. – S. 863-874. – DOI:https://doi.org/10.15389/agrobiology.2019.5.863rus.
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4. Karothia, R. Internet of thing (IoT) enabled smart sensor node (SSN) to measure the soil and environmental parameters for smart farming / R. Karothia, M.K. Chattopadhyay // CSI Transactions on ICT. -2024. -№ 4 (12).- C. 119-135.- DOI:https://doi.org/10.1007/s40012-024-00402-8.
5. How to increase the analog-to-digital converter speed in optoelectronic systems of the seed quality rapid analyzer / S.V. Sokolov, V.V. Kamensky, A.I. Novikov, V. Ivetić // Inventions. – 2019. – Vol. 4, No. 4. – P. 61. – DOI:https://doi.org/10.3390/inventions4040061.
6. Tun, Yu. Razrabotka algoritma povysheniya effektivnosti protokola marshrutizacii S-LEACH / Yu. Tun, T.P. Novikova, S.A. Evdokimova //Modelirovanie sistem i processov. – 2022. – T. 15, № 2. – S. 93-99. – DOI:https://doi.org/10.12737/2219-0767-2022-15-2-93-99.
7. Razrabotka modeli optimizacii vybora ploschadki bazovoy stancii na osnove algoritma PMET-PSO / T.P. Novikova, N.V. Panina, E.A. Anike-ev, Ch. Czyan'cun // Modelirovanie sistem i processov. – 2022. – T. 15, № 4. – S. 61-69. – DOI:https://doi.org/10.12737/2219-0767-2022-15-4-61-69.
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10. Novikova, T. P. Oblachnye tehnologii – stanovlenie i perspektivy razvitiya / T. P. Novikova, V. V. Lyadov, M. V. Nazarenko // Modelirovanie sistem i processov. – 2013. – № 1. – S. 37-39.
11. Novikova, T. P. Upravlenie dannymi / T. P. Novikova. – Voronezh : Voronezhskiy gosudarstvennyy lesotehnicheskiy universitet im. G.F. Morozova, 2022. – 106 s. – ISBN 978-5-7994-0982-1.
12. Novikova, T. P. Informacionnye sistemy upravleniya / T.P. Novikova, S. A. Evdokimova. – Voronezh : Voronezhskiy gosudarstvennyy leso-tehnicheskiy universitet im. G.F. Morozova, 2016. – 148 s. – ISBN 978-5-7994-0749-0.
13. Spravochnaya informacionnaya sistema FLR-library dlya adaptivnogo lesovosstanovleniya: informacionnaya model' / T.P. Novikova, A.I. Novikov, V.I. Lisicyn, E. P. Petrischev // Lesotehnicheskiy zhurnal. – 2023. – T. 13, № 4.1(52). – S. 114-124. – DOI:https://doi.org/10.34220/issn.2222-7962/2023.4/7.
14. Belyaeva, T.P. Algoritm upravleniya riskami proektov planirovaniya i realizacii elektronnoy komponentnoy bazy / T.P. Belyaeva, V.K. Zol'nikov, O.N. Cherkasov // Geteromagnitnaya mikroelektronika. – 2011. – № 11. – S. 116-124.
15. Novikova, T.P. Razrabotka algoritma i modeli funkcionirovaniya informacionnoy sistemy dlya malogo sel'skohozyaystvennogo predpriyatiya / T.P. Novikova, T.V. Novikova, A.I. Novikov // Modelirovanie sistem i processov. – 2020. – T. 13, № 4. – S. 53-58. – DOI:https://doi.org/10.12737/2219-0767-2021-13-4-53-58.
16. Evdokimova, S.A. Primenenie algoritmov klasterizacii dlya ana-liza klientskoy bazy magazina / S.A. Evdokimova, A.V. Zhuravlev, T.P. Novikova // Modelirovanie sistem i processov. – 2021. – T. 14, № 2. – S. 4-12. – DOI:https://doi.org/10.12737/2219-0767-2021-14-2-4-12.
