Khilola Amankulova

8 ta ish

University of Szeged

1. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

   Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

   MaqolaOAOchiq kirishRemote Sensing in AgricultureGeocarto International20239 iqtibos

   ABIABI:AkademIndex/2023.article.000152

2. Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation

   Nizom Farmonov, Khilola Amankulova, József Szatmári +4

   MaqolaOAOchiq kirishRemote Sensing in AgricultureInternational Journal of Digital Earth20235 iqtibos

   ABIABI:AkademIndex/2023.article.000160

3. Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation

   Khilola Amankulova, Nizom Farmonov, László Mucsi

   MaqolaOAOchiq kirish20223 iqtibos

   ABIABI:AkademIndex/2026.other.076354

4. Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning

   Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

   MaqolaOAOchiq kirishRemote Sensing in AgricultureAdvances in Space Research20242 iqtibos

   ABIABI:AkademIndex/2024.article.000252

5. Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting

   Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

   MaqolaOAOchiq kirishRemote Sensing in AgricultureHungarian Geographical Bulletin20241 iqtibos

   ABIABI:AkademIndex/2024.article.001464

6. Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression

   Khilola Amankulova, Nizom Farmonov, Parvina Akramova +2

   MaqolaOAOchiq kirishRemote Sensing in AgricultureHeliyon20230 iqtibos

   ABIABI:AkademIndex/2023.article.000187

7. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

   Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

   MaqolaOAOchiq kirishRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing20240 iqtibos

   ABIABI:AkademIndex/2024.article.000464

8. Spatio-temporal assessment of drought dynamics in Uzbekistan (2001–2024) using MODIS-derived vegetation and temperature indices

   Khilola Amankulova, Ramziddin Sharopov, Kamola Khaitova +7

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.037716