József Szatmári

3 ta ish

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

1. 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

2. 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

3. 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