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Keywords

tuproqshunoslik, matematik modellashtirish, geostatistika, raqamli tuproq xaritalash, tuproq unumdorligi, eroziya, sho‘rlanish, aniq dehqonchilik.

How to Cite

TUPROQSHUNOSLIKDA MATEMATIK MODELLASHTIRISH USULLARINI QO‘LLASH SOHALARI. (2026). "XXI ASRDA INNOVATSION TEXNOLOGIYALAR, FAN VA TAʼLIM TARAQQIYOTIDAGI DOLZARB MUAMMOLAR" Nomli Respublika Ilmiy-Amaliy Konferensiyasi, 4(5), 448-457. https://www.universalpublishings.com/index.php/itfttdm/article/view/18712

Abstract

Ushbu maqolada tuproqshunoslik fanida matematik modellashtirish usullaridan foydalanishning ilmiy-amaliy ahamiyati yoritilgan. Tuproq murakkab tabiiy tizim bo‘lib, uning tarkibi, unumdorligi, namlik rejimi, sho‘rlanish darajasi, eroziyaga chidamliligi va ekologik holatini baholashda an’anaviy kuzatuv usullarining o‘zi yetarli bo‘lmaydi.

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References

[1] Jenny H. Factors of Soil Formation: A System of Quantitative Pedology. New York: McGraw-Hill, 1941. [2] FAO and ITPS. Status of the World’s Soil Resources: Main Report. Rome:

Food and Agriculture Organization of the United Nations, 2015. [3] McBratney A.B., Mendonça Santos M.L., Minasny B. On digital soil

mapping // Geoderma. 2003. Vol. 117. Issues 1–2. P. 3–52.[4] Webster R., Oliver M.A. Geostatistics for Environmental Scientists. Chichester: John Wiley & Sons, 2007. [5] Goovaerts P. Geostatistics for Natural Resources Evaluation. New York:

Oxford University Press, 1997. [6] Renard K.G., Foster G.R., Weesies G.A., McCool D.K., Yoder D.C. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the

Revised Universal Soil Loss Equation RUSLE. USDA Agriculture Handbook No. 703. Washington, 1997. [7] Hillel D. Environmental Soil Physics. San Diego: Academic Press, 1998. [8] Richards L.A. Diagnosis and Improvement of Saline and Alkali Soils. USDA Agriculture Handbook No. 60. Washington, 1954. [9] Bouma J. Using soil survey data for quantitative land evaluation //

Advances in Soil Science. 1989. Vol. 9. P. 177–213. [10] FAO. Soil Organic Carbon: The Hidden Potential. Rome: Food and

Agriculture Organization of the United Nations, 2017. [11] Minasny B., McBratney A.B. Digital soil mapping: A brief history and

some lessons // Geoderma. 2016. Vol. 264. P. 301–311. [12] Lagacherie P., McBratney A.B., Voltz M. Digital Soil Mapping: An

Introductory Perspective. Amsterdam: Elsevier, 2006.

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