EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 386 (2023) E3S Web Conf., 386 (2023) 05011 References
Open Access
Issue
E3S Web Conf.
Volume 386, 2023
Annual International Scientific Conferences: GIS in Central Asia – GISCA 2022 and Geoinformatics – GI 2022 “Designing the Geospatial Ecosystem”
Article Number 05011
Number of page(s) 9
Section GIS in Land Use and Management, and Cadaster
DOI https://doi.org/10.1051/e3sconf/202338605011
Published online 12 May 2023
  1. M. García, M.T. Godinho, R. Espada, G. Avilés, I.S. Brito, M. Álvarez, A. Troncoso, R. Escudero, Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering, Advances in Intelligent Systems and Computing, 1268, AISC, 226-36 (2021) [CrossRef] [Google Scholar]
  2. A. Kavvadias, E. Psomiadis, M. Chanioti, E. Gala, S. Michas, Precision agriculture Comparison and evaluation of innovative very high resolution (UAV) and LandSat data, CEUR Workshop Proc, 1498 (2015) [Google Scholar]
  3. Y. Qin, Z. Jixian, Methodology to develop land capability maps using geo-information systems (GIS), Geo-spatial Inf Sci, 5 (2002) [Google Scholar]
  4. B. Basso, L. Liu, Seasonal crop yield forecast: Methods, applications, and accuracies, 154 (Elsevier Inc., 2019) [Google Scholar]
  5. P.S. Thenkabail, Water productivity mapping using remote sensing data of various resolutions to support “more crop per drop”, 3 (2009) [Google Scholar]
  6. J. Mladen, P. Ivan, J. Tomislav, Methodology to develop land capability maps using geo-information systems (GIS), African J. Agric Res, 8 (2013) [Google Scholar]
  7. O.A. Denton, V.O. Aduramigba-Modupe, A.O. Ojo, O.D. Adeoyolanu, K.S. Are, A.O. Adelana, A.O. Oyedele, A.O. Adetayo, A.O. Oke, Assessment of spatial variability and mapping of soil properties for sustainable agricultural production using geographic information system techniques (GIS), Cogent Food Agric., 3 (2017) [Google Scholar]
  8. S. Mori, M. Kato, T. Ido, GISELA GIS-based evaluation of land use and agriculture market analysis under global warming, Appl. Energy, 87 (2010) [Google Scholar]
  9. N. Tantalaki, S. Souravlas, M. Roumeliotis, Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems, J. Agric. Food Inf., 20 (2019) [Google Scholar]
  10. M. Reimov, V. Statov, P. Reymov, N. Mamutov, S. Abdireymov, Y. Khudaybergenov, S. Matchanova, A. Orazbaev, Evaluation of desertified delta plant communities using spectral indexes and landscape transformation models, J. E3S Web Conf., 227 (2021) [Google Scholar]
  11. M. Khamidov, K. Isabaev, U. Islamov, Z. Mamatkulov, Application of geoinformation technologies for sustainable, 7 (2020) [Google Scholar]
  12. A. Inamov, S. Safayev, S. Mukhammadayubova, Significance of drones in monitoring of agricultural lands of Uzbekistan, J. E3S Web Conf., 258 (2021) [Google Scholar]
  13. D. Bazarov, S. Umarov, R. Oymatov, F. Uljaev, K. Rayimov, I. Raimova, Hydraulic parameters in the area of the main dam intake structure of the river, J. E3S Web Conf, 264 (2021) [Google Scholar]
  14. G. Shodmonova, U. Islomov, O. Abdisamatov, S. Khikmatullaev, U. Kholiyorov, S. Khamraeva, Numerical solution of nonlinear integro-differential equations, IOP Conf. Ser. Mater. Sci. Eng., 896 (2020) [Google Scholar]
  15. Z. Mamatkulov, J. Rashidov, G. Eshchanova, M. Berdiev, Z. Abdurakhmonov, Visualization and analysing the state of hydrotechnical construction via geospatial methods (on the example of Kharshi pumping stations cascade), IOP Conf. Ser. Earth Environ. Sci., 614 (2020) [Google Scholar]
  16. R.K. Oymatov, Z.J. Mamatkulov, M.P. Reimov, R.I. Makhsudov, R.N. Jaksibaev, Methodology development for creating agricultural interactive maps, IOP Conf. Ser. Earth Environ. Sci., 868 (2021) [Google Scholar]
  17. A. Inamov, N. Avilova, D. Norbaeva, S. Mukhammadayubova, M. Idirova, J. Vakhobov, Application of GIS technologies in quality management of land accounting in Uzbekistan, E3S Web Conf., 258 (2021) [Google Scholar]
  18. A.R. Babajanov, B.N. Inamov, Issues of involvement in circulation of unused agricultural lands in Uzbekistan, IOP Conf. Ser. Earth Environ. Sci., 614 (2020) [Google Scholar]
  19. A. Inamov, A. Ruziev, S. Nurjanov, Interpolation in smoothing tin model of the earth, IOP Conf. Ser. Mater. Sci. Eng., 1030 (2021) [Google Scholar]
  20. V. Nilipovskiy, A. Inamov, Digital land registration: practical aspects of application in Uzbekistan, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM (2020) [Google Scholar]
  21. I. Aslanov, S. Khasanov, Y. Khudaybergenov, M. Groll, Ch.C. Opp, F. Li, E.R. DelValle, Land cover-adjusted index for the former Aral Sea using Landsat images, J. E3S Web Conf., 227 (2021) [Google Scholar]
  22. I. Aslanov, U. Mukhtorov, R. Mahsudov, U. Makhmudova, S. Alimova, L. Djurayeva, O. Ibragimov, Applying remote sensing techniques to monitor green areas in Tashkent Uzbekistan, J. E3S Web Conf., 258 (2021) [Google Scholar]
  23. I. Aslanov, S. Kholdorov, S. Ochilov, A. Jumanov, Z. Jabbarov, I. Jumaniyazov, N. Namozov, Evaluation of soil salinity level through using Landsat-8 OLI in Central Fergana valley, Uzbekistan, J. E3S Web Conf., 258 (2021) [Google Scholar]
  24. S. Narbaev, S. Abdurahmanov, O. Allanazarov, A. Talgatovna, I. Aslanov, Modernization of telecommunication networks on the basis of studying demographic processes using GIS, J. E3S Web Conf., 263 (2021) [Google Scholar]
  25. S. Kholdorov, Z. Jabbarov, I. Aslanov, B. Jobborov, Z. Rakhmatov, Analysing effect of cement manufacturing industry on soils and agricultural plants, J. E3S Web Conf., 284 (2021) [Google Scholar]
  26. M. Lehoczky, Z. Abdurakhmonov, Present software of photogrammetric processing of digital images, J. E3S Web of Conferences, 227 (2021) [Google Scholar]
  27. V. Balázsik, Z. Tóth, I. Abdurahmanov, Analysis of Data Acquisition Accuracy with UAV, Int. J. Geoinformatics, 17 (2021) [Google Scholar]
  28. A. Babajanov, R. Abdiramanov, I. Abdurahmanov, U. Islomov, Advantages of formation non-agricultural land allocation projects based on GIS technologies, J. E3S Web Conf., 227 (2021) [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.