The paper presents an automated monitoring system for agricultural lands in the Nukus district (Republic of Karakalpakstan, Uzbekistan). The dataset comprises 1,282 observations spanning January 6, 2023 through February 21, 2026, processed via the Google Earth Engine platform. Four vegetation indices — NDVI, EVI, GNDVI, and CVI — were derived from remote sensing data. Isolation Forest was applied for crop anomaly detection, and both Random Forest and Gradient Boosting algorithms were trained for 60-day index forecasting.
| Mualliflar | Aytmuratov , Bakbergen, Orazımbetov , Temurbek |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-05-14 |
| Jild | 4 |
| Son | 5 |
| Betlar | 30-36 |
| Til | Rus |
| DOI | 10.47390/ts-v4i5y2026n05 |
DOI: 10.47390/ts-v4i5y2026n05 · Maqolaning asl sahifasi
remote sensing; Sentinel-2; NDVI; EVI; GNDVI; CVI; Random Forest; Gradient Boosting; Isolation Forest; crop monitoring, дистанционное зондирование; Sentinel-2; NDVI; EVI; GNDVI; CVI; Random Forest; Gradient Boosting; Isolation Forest; мониторинг посевов
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