QORAQALPOG‘ISTON HUDUDI IQLIM-TUPROQ SHAROITIGA MOSLASHGAN O‘SIMLIKLAR BO‘YICHA MA’LUMOTLAR BAZASINI LOYIHALASH
Keywords:
Ma’lumotlar bazasi loyihalash, agroekologik tahlil, ER model, indekslash, axborot tizimlariAbstract
Mazkur maqolada Qoraqalpog‘iston Respublikasining tuproq-iqlim sharoitiga moslashuvchan o‘simliklar bo‘yicha ma’lumotlarni to‘plash, tizimlashtirish va saqlashga ixtisoslashgan ma’lumotlar bazasini kontseptual, mantiqiy va fizik darajada loyihalashtirish masalalari ko‘rib chiqilgan. Ushbu ma’lumotlar bazasi agroekologik tahlil, o‘simlik tanlash, mahsuldorlik prognozlash va yerdan samarali foydalanish qarorlarini qo‘llab-quvvatlovchi axborot infratuzilmasi sifatida xizmat qiladi. Loyihalash jarayonida normallashtirish, indekslash va kognitiv ob’ektlar o‘rtasidagi bog‘lanishlar matematik asosda ifodalangan. Tadqiqot “AL-9424104879 – Orol dengizi qurigan tubi tuproq-iqlim sharoitiga mos o‘simliklarni tasniflash va yerdan foydalanish samaradorligini oshirish algoritmlari” loyihasi doirasida amalga oshirilgan.
References
1. H.-O. Pörtner et al., Eds., Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. 2022.
2. ‘Global Land Outlook’, UNCCD. [Elektron manba] https://www.unccd.int/resources/global-land-outlook/overview (murojaat sanasi: 10.06.2025)
3. J. A. Foley et al., ‘Solutions for a cultivated planet’, Nature, vol. 478, no. 7369, pp. 337–342, Oct. 2011, doi: 10.1038/nature10452.
4. Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, ‘Decision support systems for agriculture 4.0: Survey and challenges’, Computers and Electronics in Agriculture, vol. 170, p. 105256, Mar. 2020, doi: 10.1016/j.compag.2020.105256.
5. Harmonized World Soil Database version 2.0. FAO; International Institute for Applied Systems Analysis (IIASA);, 2023. doi: 10.4060/cc3823en.
6. R. J. Hijmans, S. E. Cameron, J. L. Parra, P. G. Jones, and A. Jarvis, ‘Very high resolution interpolated climate surfaces for global land areas’, Int. J. Climatol., vol. 25, no. 15, pp. 1965–1978, Dec. 2005, doi: 10.1002/joc.1276.
7. ‘ECOCROP’. [Elektron manba] https://gaez.fao.org/pages/ecocrop (murojaat sanasi: 15.07.2025)
8. ‘USDA Plants Database’. [Elektron manba] https://plants.usda.gov/ (murojaat sanasi: 15.07.2025)
9. I.-W. S. Information, ‘SoilGrids web portal’, SoilGrids web portal. [Elektron manba] https://soilgrids.org (murojaat sanasi: 15.07.2025)
10. ‘NASA POWER | Data Access Viewer (DAV)’. [Elektron manba] https://power.larc.nasa.gov/data-access-viewer/ (murojaat sanasi: 15.07.2025)
11. A. Bao et al., ‘Ecological problems and ecological restoration zoning of the Aral Sea’, J. Arid Land, vol. 16, no. 3, pp. 315–330, Mar. 2024, doi: 10.1007/s40333-024-0055-6.
12. W. Miao et al., ‘Ecological Governance of Aral Sea: Important Way to Deepen Scientific and Technological Cooperation with Central Asia[J]’, Bulletin of Chinese Academy of Sciences, vol. 38, no. 6, 2023, [Elektron manba] https://bulletinofcas.researchcommons.org/journal/vol38/iss6/32/ (murojaat sanasi: 20.07.2025)
13. P. Micklin, ‘The past, present, and future Aral Sea’, Lakes & Reservoirs, vol. 15, no. 3, pp. 193–213, Sep. 2010, doi: 10.1111/j.1440-1770.2010.00437.x.
14. Yu. A. Usmanov, Degradatsiya holatidagi sug‘oriladigan erlarni tiklash va foydalanishga kiritish mexanizmlarini takomillashtirish. Toshkent: TIQXMMI», 2020.
15. D. S. MacCarthy, B. S. Freduah, F. M. Akinseye, S. G. K. Adiku, D. E. Dodor, and A. Y. Kamara, ‘Exploring the use of nitrogen fertilization and shifting of planting dates as adaptation strategies to climate change in the Coastal Savannah of Ghana’, Journal of Agriculture and Food Research, vol. 22, p. 102126, Aug. 2025, doi: 10.1016/j.jafr.2025.102126.
16. M. N. Oishy et al., ‘Unravelling the effects of climate change on the soil-plant-atmosphere interactions: A critical review’, Soil & Environmental Health, vol. 3, no. 1, p. 100130, Jan. 2025, doi: 10.1016/j.seh.2025.100130.
17. S. F. P. D. Musa and S. Ariff Lim, ‘Revitalising agriculture through climate change mitigation: a systematic literature review on smart technologies and sustainable practices’, IJCCSM, vol. 17, no. 1, pp. 483–501, May 2025, doi: 10.1108/ijccsm-05-2024-0071.
18. M. M. Billah, M. M. Rahman, S. Mahimairaja, A. Lal, A. Srinivasulu, and R. Naidu, ‘Constraints and prospects of adoption of climate smart agriculture interventions: Implication for farm sustainability’, Climate Smart Agriculture, vol. 2, no. 3, p. 100066, Aug. 2025, doi: 10.1016/j.csag.2025.100066.
19. M. (André) Nakhavali, A. Lessa Derci Augustynczik, A. Repo, E. Vangi, and P. Havlík, ‘ForestScope: Comprehensive tool for analysing soil, climate, and stand data in forest ecosystems’, Ecological Modelling, vol. 508, p. 111251, Sep. 2025, doi: 10.1016/j.ecolmodel.2025.111251.
20. M. Chibuye, J. Phiri, and P. Nkunika, ‘Adaptive Echo State Network for crop yield prediction incorporating Fall Armyworm dynamics’, Smart Agricultural Technology, vol. 12, p. 101123, Dec. 2025, doi: 10.1016/j.atech.2025.101123.