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All issues Volume 392 (2023) E3S Web Conf., 392 (2023) 01037 References
Open Access
Issue
E3S Web Conf.
Volume 392, 2023
II International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-II-2023)
Article Number 01037
Number of page(s) 7
Section Issues of Sustainable Development of Agriculture
DOI https://doi.org/10.1051/e3sconf/202339201037
Published online 06 June 2023
  1. I. Adriaens, N.C. Friggens, W. Ouweltjes, H. Scott, B. Aernouts, J. Statham, Productive life span and resilience rank can be predicted from on-farm first-parity sensor time series but not using a common equation across farms, Journal of Dairy Science, 103, 8, 7155–7171 (2020) [CrossRef] [PubMed] [Google Scholar]
  2. Ali Alameer, Ilias Kyriazakis, Jaume Bacardi, Automated recognition of postures and drinking behavior for the detection of compromised health in pigs, Scientific Reports, 10, 13665 (2020) [CrossRef] [PubMed] [Google Scholar]
  3. S.Ya. Inagamov, G.G. Tajibaev, Z.B. Tursunova, N.B. Sadikova, D.Z. Narzullaev, Composition and technology of drying fruit of the medicinal plant Capparis spinosa L. and its study, IOP Conference Series: Earth and Environmental Science, 979, 1, 012100 (2022) [CrossRef] [Google Scholar]
  4. I.D. Jonsen, A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags, Movement Ecology, 8, 1, 31 (2020) [CrossRef] [PubMed] [Google Scholar]
  5. F.M. Masía, N.A. Lyons, M. Piccardi, M. Balzarini, R.C. Hovey, S.C. Garcia, Modeling variability of the lactation curves of cows in automated milking systems, Journal of Dairy Science, 103, 9, 8189–8196 (2020) [CrossRef] [PubMed] [Google Scholar]
  6. D. McSweeney, B. O'Brien, N.E. Coughlan, A. Férard, S. Ivanov, P. Halton, C. Umstatter, Virtual fencing without visual cues: Design, difficulties of implementation, and associated dairy cow behaviour, Computers and Electronics in Agriculture, 176, 105613 (2020) [CrossRef] [Google Scholar]
  7. Paul Celicourt, Silvio Jose Gumiere, Jonathan A. Lafond, Thiago Gumiere, Jacques Gallichand, A.N. Rousseau, Automated Mapping of Water Table for Cranberry Subirrigation Management: Comparison of Three Spatial Interpolation Methods, Water, 12, 3322 (2020) [CrossRef] [Google Scholar]
  8. H. Simanca, J.A. Paez, J.C. Méndez, E.C. Díaz, J.V. Palacio, Design of a crop irrigation system controlled by the IoT application, Journal of Engineering and Applied Sciences, 15, 19, 2161–2167 (2020) [Google Scholar]
  9. V.N. Borozenets, A.V. Tsisar, Information support of decision support systems in agriculture. International accounting, 4, 150, 53–60 (2013) [Google Scholar]
  10. A.A. Fedorov, I.V. Liberman, S.I. Koryagin, P.M. Klachek, Neuro-digital ecosystem design technology for the implementation of the Industry 5.0 concept. St. Petersburg State Polytechnical University Journal Economics, 14, 3, 19–39 (2021) [Google Scholar]
  11. I. Atabekov, M. Muminov, A. Atabekov, Numerical modelling of the stress in the Pamir-Hindu Kush region. Geodesy and Geodynamics, 13, 1, 83–91 (2022) [CrossRef] [Google Scholar]
  12. I.U. Atabekov, T.U. Artikov, R.S. Ibragimov, T.L. Ibragimova, M.A. Mirzaev, Relationship between Strong Earthquakes and Activation of Deep Faults in Central Asia (Uzbekistan): Numerical Simulation of Stress Field Variations, Geotectonics, 55, 3, 377–392 (2021) [CrossRef] [Google Scholar]
  13. I. Atabekov, Numerical models of earthquake mechanism. Geodesy and Geodynamics 12, 2, 148–154 (2021) [CrossRef] [Google Scholar]
  14. S. Fazilov, R. Khamdamov, G. Mirzaeva, D. Gulyamova, N. Mirzaev, Models of recognition algorithms based on linear threshold functions, Journal of Physics: Conference Series, 1441, 1, 012138 (2020) [CrossRef] [Google Scholar]
  15. A.H. Nishanov, B.B. Akbaraliev, S.K. Tajibaev, About One Feature Selection Algorithm in Pattern Recognition, Advances in Intelligent Systems and Computing 1323 AISC 103–112 (2021) [Google Scholar]
  16. M. Kamilov, S. Fazilov, G. Mirzaeva, D. Gulyamova, N. Mirzaev, Building a model of recognizing operators based on the definition of basic reference objects, Journal of Physics: Conference Series, 1441, 1, 012142 (2020) [CrossRef] [Google Scholar]
  17. Sh.Kh. Fazilov, R.A. Lutfullaev, N.M. Mirzaev, A.Sh. Mukhamadiev, Statistical approach to building a model of recognition operators under conditions of high dimensionality of a feature space, Journal of Physics: Conference Series, 1333, 3, 032017 (2019) [CrossRef] [Google Scholar]
  18. S.K. Fazilov, N.M. Mirzaev, T.R. Nurmukhamedov, K.A. Ibragimova, S.N. Ibragimova, Model of recognition operators based on the formation of representative objects. International Journal of Innovative Technology and Exploring Engineering, 9, 1, 4503–4508 (2019) [CrossRef] [Google Scholar]
  19. A.K. Nishanov, B.B. Akbaraliev, G.P. Djurayev, A symptom selection Algorithm based on classification errors, International Conference on Information Science and Communications Technologies, ICISCT 2020, 9351481 (2020) [Google Scholar]
  20. A.T. Rakhmanov, A.Kh. Nishanov, O.B. Ruzibaev, M.E. Shaazizova, On one method for solving the multi-class classification problem, International Conference on Information Science and Communications Technologies, ICISCT 2020, 9351413 (2020) [Google Scholar]
  21. N.A. Khasanovich, A.B. Bakirovich, J.G. Primovich, M.M. Khamdamjanovna, U.Z. Fakhriyevna, The algorithm for selection of symptom complex of ischemic heart diseases based on flexible search, Journal of Cardiovascular Disease Research, 11, 2, 218–223 (2021) [Google Scholar]
  22. S. Atoev, A. Nishanov, F. Abdirazakov, Object Tracking Method Based on Kalman Filter and Camshift Algorithm for UAV Applications, International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT 2021 (2021) [Google Scholar]
  23. Sh.Kh. Fazilov, N.M. Mirzaev, S.S. Radjabov, G.R. Mirzaeva, Hybrid algorithms of the person identification by face image, Journal of Physics: Conference Series, 1333, 3, 032016 (2019) [CrossRef] [Google Scholar]
  24. S. Fazilov, S. Radjabov, M. Atakhanov, A. Khashimov, Access Control System Based on Facial Image Analysis, AIP Conference Proceedings, 2432, 060007 (2022) [CrossRef] [Google Scholar]
  25. S. Fazilov, E. Urinov, S. Kakharov, A. Khashimov, Improving image contrast: Challenges and solutions, International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT 2021 (2021) [Google Scholar]
  26. D.Z. Narzullaev, B.A. Abdurakhmanov, A.S. Baydullaev, S.T. Ilyasov, K.K. Shadmanov, Transformation of types of signs for a task of the regression analysis, IOP Conference Series: Materials Science and Engineering, 862, 5, 052065 (2020) [CrossRef] [Google Scholar]
  27. D. Narzullaev, A. Tursunov, N. Samigova, U. Tursunov, K. Shadmanov, Methods for assessing risk factors to the health of highly qualified athletes, E3S Web of Conferences, 284, 01010 (2021) [CrossRef] [EDP Sciences] [Google Scholar]
  28. K.S. Ilhamov, D.Z. Narzullaev, S.T. Ilyasov, B.A. Abdurakhmanov, K.K. Shadmanov, Model of a turbulent flow of a two-phase liquid with an uneven distributed phase concentration in a horizontal pipe, IOP Conference Series: Materials Science and Engineering, 1047, 1, 012021 (2021) [CrossRef] [Google Scholar]
  29. K.S. Ilhamov, A.M. Arifjanov, D.Z. Narzullaev, B.A. Abdurakhmanov, K.K. Shadmanov, Determination of the formation model of the phase concentration field along the section of the turbulent flow of hydrotransport using information technologies, Journal of Physics: Conference Series, 2001, 1, 012010 (2021) [CrossRef] [Google Scholar]
  30. D.Z. Narzullaev, K.K. Shadmanov, A.S. Baidullaev, E.E. Rajabov, A.T. Tursunov, Automated farm management system in Uzbekistan, IOP Conference Series: Earth and Environmental Science, 723, 3, 032036 (2021) [CrossRef] [Google Scholar]
  31. D. Narzullaev, A. Tursunov, A. Baydullaev, Z. Mamatkulov, B. Abdurakhmonov, Information system Farms of the Republic of Uzbekistan, Proceedings of SPIE - The International Society for Optical Engineering, 12296, 122960 (2022) [Google Scholar]

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