Open Access
Issue
BIO Web Conf.
Volume 103, 2024
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2023)
Article Number 00004
Number of page(s) 5
DOI https://doi.org/10.1051/bioconf/202410300004
Published online 17 April 2024
  • K.E. Tokarev, N.I. Lebed, V.A. Kuzmin, A.N. Chernyavsky, Theory and technologies of crop irrigation management based on information technologies of decision support and mathematical modeling, Science and higher professional education, Proc. of the Nizhnevolzhsky agrouniversitetskiy complex 4(60), 433-448 (2020) [Google Scholar]
  • N.I. Lebed, I.V. Volkov, M.B. Lebed, Ya. Kalinin, V Multisection climate chamber for accelerated production of cultivated plants under controlled parameters, Izv. VolgSTU 3 (250), 66-68 (2021) [Google Scholar]
  • U. Sommer, Programming Arduino/Freeduino microcontroller boards (BHV Petersburg, St. Petersburg, 2012), 256 p. [Google Scholar]
  • I.I. Borisov, S.A. Kolyubin, Simulation modeling of mechatronic systems, Educational and methodological manual (ITMO Univ., St. Petersburg, 2020), 103 p. [Google Scholar]
  • I.A. Elizarov, Yu.F. Martemyanov, A.G. Skhirtladze, Technical means of automation. Software and hardware complexes and controllers, Educational and methodological manual (Publ. house: LLC “Thin science-intensive technologies”, Stary Oskol, 2021), 236 p. [Google Scholar]
  • A.E. Balanovskiy, M.G. Shtaiger, V.V. Kondratyev, A.I. Karlina, Determination of rail steel structural elements via the method of atomic force microscopy, CIS Iron and Steel Rev. 23, 86-91 (2022) [CrossRef] [Google Scholar]
  • D. Podoprigora, R. Byazrov, J. Sytnik, The Comprehensive Overview of Large-Volume Surfactant Slugs Injection for Enhancing Oil Recovery: Status and the Outlook, Energies 15, 8300 (2022), Retrieved from: https://doi.org/10.3390/en15218300 [CrossRef] [Google Scholar]
  • E.F. Denisov, M.Z. Yamilev, E.A. Tigulev, V.V. Pshenin, Analysis of the current level of technologies for determining the location of non- metallic underground services, Oil Industry, 2022 (9), 121-125 (2022), DOI: 10.24887/00282448-2022-9-121-125. [Google Scholar]
  • V.V. Kondrat’ev, V.O. Gorovoy, A.D. Kolosov, R.V. Kononenko, V.Y. Konyukhov, Description of the complex of technical means of an automated control system for the technological process of thermal vortex enrichment, J. of Phys.: Conf. Ser. 1661 (1), 012101 (2020) [CrossRef] [Google Scholar]
  • S.V. Klyuev, N.F. Kashapov, O.V. Radaykin, L.S. Sabitov, A.V. Klyuev, N.A. Shchekina, Reliability coefficient for fibreconcrete material, Construct. Mater. and Prod. 5 (2), 51-58 (2022), Retrieved from: https://doi.org/10.58224/2618-7183-2022-5-2-51-58 [Google Scholar]
  • I.G. Vidayev, N.V. Martyushev, A.S. Ivashutenko, A.M. Bogdan, The resource efficiency assessmenttechnique for the foundry production, Adv. Mater. Res. 880, 141-145 (2014), DOI: 10.4028/www.scientific.net/AMR.880.141. [CrossRef] [Google Scholar]
  • E. Volneikina, O. Kukartseva, A. Menshenin, V. Tynchenko, K. Degtyareva, Simulation-Dynamic Modeling Of Supply Chains Based On Big Data, INFOTEH-JAHORINA, INFOTEH 2023, 22nd Int. Symp. (2023), D [Google Scholar]
  • V.L. Tatarintsev, L.M. Tatarintsev, S.K. Makenova, M.M. Shostak, Geoecological assessment of landscapes as the basis for organizing sustainable agricultural land use, Sustainable developm. of mountain territ. 13 (4), 485-497 (2021), DOI: 10.21177/1998-4502-2021-13-4-485-496OI:10.1109/INFOTEH57020.2023.10094168. [CrossRef] [Google Scholar]
  • I.A. Sysoev, V.A. Ershov, V.V. Kondrat’ev, Method of Controlling the Energy Balance of Electrolytic Cells for Aluminum Production, Metallurgist 59 (5-6), 518-525 (2015), Retrieved from: https://doi.org/10.1007/s11015-015-0134-1 [CrossRef] [Google Scholar]
  • Shutaleva, N. Martyushev, Z. Nikonova, I. Savchenko, S. Abramova, V. Lubimova, A. Novgorodtseva, Environmental Behavior of Youth and Sustainable Development, Sustain. 14, 250 (2022), DOI: 10.3390/su14010250. [Google Scholar]
  • N.V. Martyushev, D.A. Bublik, V.V. Kukartsev, V.S. Tynchenko, R.V. Klyuev, Y.A. Tynchenko, Y.I. Karlina, Provision of Rational Parameters for the Turning Mode of Small-Sized Parts Made of the 29 NK Alloy and Beryllium Bronze for Subsequent Thermal Pulse Deburring, Mater. 16, 3490 (2023), DOI: 10.3390/ma16093490. [CrossRef] [Google Scholar]
  • B.V. Malozyomov, N.V. Martyushev, V.Y. Konyukhov, T.A. Oparina, N.A. Zagorodnii, E.A. Efremenkov, M. Qi, Mathematical Analysis of the Reliability of Modern Trolleybuses and Electric Buses, Mathem. 11, 3260 (2023), DOI: 10.3390/math11153260. [Google Scholar]
  • B.V. Malozyomov, N.V. Martyushev, S.N. Sorokova, E.A. Efremenkov, D.V. Valuev, M. Qi, Mathematical Modelling of Traction Equipment Parameters of Electric Cargo Trucks, Mathem. 12, 577 (2024), DOI: 10.3390/math12040577. [Google Scholar]
  • A.A. Korshak, V.V. Pshenin, Calculation of phase transitions in condensation units for recovery of oil and oil products vapors, Oil Industry 2021 (6), 98-101 (2021), DOI: 10.24887/0028-2448-2021-6-98101. [Google Scholar]
  • A.M. Shagiakhmetov, S. Yushchenko, Substantiation of In Situ Water Shut-Off Technology in Carbonate Oil Reservoirs, Energies 15, 1-13 (2022), Retrieved from: https://doi.org/10.3390/en15145059 [Google Scholar]
  • G. Zakirova, V. Pshenin, R. Tashbulatov, L. Rozanova, Modern Bitumen Oil Mixture Models in Ashalchinsky Field with Low-Viscosity Solvent at Various Temperatures and Solvent Concentrations, Energies 16 (1) (2023), DOI: 10.3390/en16010395. [Google Scholar]
  • G.Y. Korobov, A.A. Vorontsov, G.Y. Korobov, D.V. Parfenov, T.N. Van, Mechanisms of the formation of asphalt-resin and paraffin deposits and factors influencing their intensity, Bull. of the Tomsk Polytech. Univ. Geo Assets Eng. 334 (4), 103-116 (2023), Retrieved from: https://doi.org/10.18799/24131830/2023/4/3940 [CrossRef] [Google Scholar]
  • I.B. Ardashkin, A.N. Yakovlev, N.V. Martyushev, Evaluation of the resource efficiency of foundrytechnologies: Methodological aspect, Adv. Mater. Res. 1040, 912-916 (2014), DOI: 10.4028/www.scientific.net/AMR.1040.912. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.