Khilola Amankulova

6 ta ish

Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Szeged, Hungary

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

   Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

   MaqolaRemote Sensing in AgricultureGeocarto International20237 iqtibos

   ABIABI:AkademIndex/openalex/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

   MaqolaRemote Sensing in AgricultureInternational Journal of Digital Earth20233 iqtibos

   ABIABI:AkademIndex/openalex/2023.article.000160

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

   Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

   MaqolaRemote Sensing in AgricultureHungarian Geographical Bulletin20241 iqtibos

   ABIABI:AkademIndex/openalex/2024.article.001464

4. 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

   MaqolaRemote Sensing in AgricultureHeliyon20230 iqtibos

   ABIABI:AkademIndex/openalex/2023.article.000187

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

   Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

   MaqolaRemote Sensing in AgricultureAdvances in Space Research20240 iqtibos

   ABIABI:AkademIndex/openalex/2024.article.000252

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

   Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

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

   ABIABI:AkademIndex/openalex/2024.article.000464