ASSESSMENT OF THE CONDITION OF NATURAL PASTURES IN NAMANGAN REGION BASED ON ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES
DOI:
https://doi.org/10.47390/ydif-y2026v2i17/n04Keywords:
natural pasture, geobotanical monitoring, artificial intelligence, digital technologies, ArcGIS, remote sensing, satellite imagery, degradation, vegetation, digital map, forecasting.Abstract
This article presents the results of geobotanical monitoring conducted on natural pastures and hayfields in the Namangan region during 2022–2025, as well as opportunities to improve these processes using digital technologies and elements of artificial intelligence. The study examined the vegetation cover, productivity, feed units, floristic composition, and degradation status of natural pastures in the Yangiqo‘rg‘on, Chortoq, Kosonsoy, To‘raqo‘rg‘on, Chust, Pop, and Mingbuloq districts. Data obtained from field research were digitized using ArcGIS software and satellite imagery to generate electronic geobotanical maps.
The research results indicate that, during the 2022–2025 period, fluctuating trends were observed regarding pasture vegetation cover, productivity, and feed units. Integrating these indicators with multi-year satellite data enables the assessment of vegetation status through digital metrics, the early detection of pasture degradation, and the forecasting of productivity dynamics. Based on the research findings, it is proposed to consolidate geobotanical monitoring data into a unified geoinformation database and to develop an AI-based digital pasture monitoring system in the future.
References
1. O‘zbekiston Respublikasi Vazirlar Mahkamasining 2019-yil 5-sentyabrdagi 737-sonli “O‘zbekiston Respublikasida atrof tabiiy muhitning davlat monitoringi tizimini takomillashtirish to‘g‘risida”gi qarori.
2. Xojiev Q.M., Davronov O.O‘., Norqulov M.N., Akramov I.L., Parpiyev G‘.T., Bag‘bekov H.K., Xakimov B.B., Xaitova K.M. “Tabiiy yaylovlar o‘simliklarining monitoringini yuritish ishlarini amalga oshirish” bo‘yicha qo‘llanma. - Toshkent: Turon-Iqbol, 2022. - 36 b.
3. O‘zbekiston Respublikasi Iqtisodiyot va moliya vazirligi huzuridagi Kadastr agentligining Davlat kadastrlari palatasi. O‘zbekiston Respublikasining Yer fondi. - 2025. - 20 b.
4. “O‘zdavyerloyiha” davlat ilmiy-loyihalash instituti “Namvilyerloyiha” hududiy bo‘linmasining Namangan viloyati Yangiqo‘rg‘on, Chortoq, Kosonsoy, To‘raqo‘rg‘on, Chust, Pop va Mingbuloq tumanlaridagi tabiiy yaylov o‘simliklari monitoringi bo‘yicha 2022, 2023, 2024 va 2025-yillar hisobotlari.
5. European Space Agency. Copernicus Sentinel-2 Mission. Yer va o‘simlik qoplamini multispektral kuzatish bo‘yicha rasmiy ma’lumotlar.
6. Google Earth Engine Documentation. Machine Learning and Supervised Classification. Yer kuzatuvi ma’lumotlarini mashinaviy o‘qitish asosida tasniflash bo‘yicha metodik materiallar.
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