Ushbu ishga iqtibos qilgan ishlar

5 ta ish

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

1. 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

2. 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

3. Hybrid retrieval method for leaf chlorophyll content mapping of winter wheat from EnMAP spaceborne imaging spectroscopy data

   Rukhiddin Turaev, Komil Khujakeldiev, Nizom Farmonov +15

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.w94qd09e

4. 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

5. Global trends and emerging themes in GIS education: A literature review with a case study of Uzbekistan

   Dilshoda Norboeva, Khojiakbar Khasanov, Jasur Lapasov +6

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.085758