SUV RESURSLARINI BOSHQARISHDA RAQAMLI TEXNOLOGIYALAR VA MOBIL ILOVALAR ASOSIDA SAMARADORLIKNI OSHIRISH MEXANIZMLARI.
DOI:
https://doi.org/10.5281/zenodo.18766614Keywords:
suv resurslari, raqamli texnologiyalar, mobil ilovalar, suv iste’molini boshqarish, IoT, sun’iy intellektAbstract
Mazkur maqolada suv resurslarini boshqarishda raqamli texnologiyalar va mobil ilovalardan foydalanish
orqali samaradorlikni oshirish mexanizmlari ilmiy jihatdan tadqiq etilgan. Global suv tanqisligi, iqlim o‘zgarishi va aholi
sonining o‘sishi sharoitida suv resurslaridan oqilona foydalanish dolzarb muammo hisoblanadi. Tadqiqotda mobil ilovalar
asosida suv iste’molini boshqarishning tashkiliy-iqtisodiy modeli ishlab chiqildi. Natijalar mobil ilovalar suv iste’molini
monitoring qilish, yo‘qotishlarni kamaytirish va qaror qabul qilish samaradorligini oshirishini ko‘rsatdi
References
Mekonnen, Mesfin & Hoekstra, Arjen. (2016). Four billion people facing severe water scarcity. Science Advances. 2.
e1500323-e1500323. 10.1126/sciadv.1500323.
Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap,
Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres, Digital technologies for
water use and management in agriculture: Recent applications and future outlook, Agricultural Water Management,
Volume 309, 2025, 109347, ISSN 0378-3774, https://doi.org/10.1016/j.agwat.2025.109347.
Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap,
Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres, Digital technologies for
water use and management in agriculture: Recent applications and future outlook, Agricultural Water Management,
Volume 309, 2025, 109347, ISSN 0378-3774, https://doi.org/10.1016/j.agwat.2025.109347.
Vijai, P.; Sivakumar, P.B. Design of IoT Systems and Analytics in the context of Smart City initiatives in India. Procedia
Comput. Sci. 2016, 92, 583–588. [Google Scholar] [CrossRef]
Gosling, S.N., Arnell, N.W. A global assessment of the impact of climate change on water scarcity. Climatic Change
, 371–385 (2016). https://doi.org/10.1007/s10584-013-0853-x
Industrial internet of things enabled technologies, challenges, and future directions Comput. Electr. Eng., 110 (2023),
Article 108847, 10.1016/j.compeleceng.2023.108847
Hassan Aboelkhair, Mostafa Morsy, Gamal El Afandi, Assessment of agroclimatology NASA POWER reanalysis
datasets for temperature types and relative humidity at 2 m against ground observations over Egypt, Advances in Space
Research, Volume 64, Issue 1, 2019, Pages 129-142, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2019.03.032.
The LCA4CSA framework: using life cycle assessment to strengthen environmental sustainability analysis of
climate smart agriculture options at farm and crop system levels Agric. Syst., 171 (2019), pp. 155-170, 10.1016/j.
agsy.2019.02.001
Rabie, A. B., Elhag, M., & Subyani, A. (2025). Remote Sensing, GIS, and Machine Learning in Water Resources
Management for Arid Agricultural Regions: A Review. Water, 17(21), 3125. https://doi.org/10.3390/w17213125
Cassidy, Joana & Barbosa, B. & Damião, M. & Ramalho, Pedro & Ganhão, A. & Santos, Ana & Feliciano, J. (2020).
Taking water efficiency to the next level: digital tools to reduce non-revenue water. Journal of Hydroinformatics. 23.
-465. 10.2166/hydro.2020.072.
Dong, J., Li, F., Kou, J. et al. Prediction of water consumption and affecting factor analysis using Inception-V4 network
and enhanced single candidate optimization: a case study. Appl Water Sci (2025). https://doi.org/10.1007/s13201-
-02697-7
Shams Forruque Ahmed, Md. Sakib Bin Alam, Mahfara Hoque, Aiman Lameesa, Shaila Afrin, Tasfia Farah,
Maliha Kabir, GM Shafiullah, S.M. Muyeen, Industrial Internet of Things enabled technologies, challenges, and
future directions, Computers and Electrical Engineering, Volume 110, 2023, 108847, ISSN 0045-7906, https://doi.
org/10.1016/j.compeleceng.2023.108847.
A.R. Melland, P. Jordan, P.N.C. Murphy, P.-E. Mellander, C. Buckley, G. Shortle, Land Use: Catchment Management,
Reference Module in Food Science, Elsevier, 2018, ISBN 9780081005965, https://doi.org/10.1016/B978-0-08-
-5.22550-X.
Daniel P. Loucks & Eelco van Beek Title: Water Resource Systems Planning and Management: An Introduction to
Methods, Models, and Applications DOI / https://doi.org/10.1007/978-3-319-44234-1
A.P. Barros, 5.04 - Orographic Precipitation, Freshwater Resources, and Climate Vulnerabilities in Mountainous
Regions, Editor(s): Roger A. Pielke, Climate Vulnerability, Academic Press, 2013, Pages 57-78, ISBN 9780123847041,
https://doi.org/10.1016/B978-0-12-384703-4.00504-9.
Rizvi, S. A., Ahmad, A., Latif, M., et al. Importance of Remote Sensing Data in GIS Environment for Evaluation of
Irrigation System Performance. Water Resources Management, 35, 4909–4926, 2021. https://doi.org/10.1007/
s11269-021-02979-0.
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