Scientific and practical research aimed at ensuring food security, based on modern methods such as global satellite data, mathematical algorithms, are important. In this study, crops growth and yield parameter were assessed using process base model DSSAT with weather, satellite and yield data obtained at field. The main types of winter wheat cultivars were classified and growth parameters and yield predicted using regression models
| Mualliflar | Navbohor JMANIYAZOVA,, Murodjon SULTANOV, Temur MATKURBANOV |
|---|---|
| Jurnal | Ўзбекистон Миллий университети хабарлари |
| Nashr sanasi | 2024-03-30 |
| Jild | 3 |
| Son | 3.1 |
| Betlar | 47-50 |
| Til | O‘zbek |
| DOI | 10.69617/nuuz.v3i3.1.1707 |
DOI: 10.69617/nuuz.v3i3.1.1707 · Maqolaning asl sahifasi
satellite images, crop model, DSSAT, harvest index, cartographic assessment, food security, regression model., satellite images, crop model, DSSAT, harvest index, cartographic assessment, food security, regression model., спутниковые изображения, модель урожая, DSSAT, индекс сбора урожая, картографическая оценка, продовольственная безопасность, регрессионная модель., sun’iy yo‘ldosh, ekin modeli, DSSAT, hosil indeksi, kartografik baholash, oziq-ovqat xavfsizligi, regressiyon model.
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