| Crop type classification by DESIS hyperspectral imagery and machine learning algorithms N Farmonov, K Amankulova, J Szatmári, A Sharifi, D Abbasi-Moghadam, ... IEEE Journal of selected topics in applied earth observations and remote …, 2023 | 55 | 2023 |
| Multispectral crop yield prediction using 3D-convolutional neural networks and attention convolutional LSTM approaches SMM Nejad, D Abbasi-Moghadam, A Sharifi, N Farmonov, K Amankulova, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 29 | 2022 |
| Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data A Tariq, S Ali, I Basit, A Jamil, N Farmonov, B Khorrami, MM Khan, S Sadri, ... Groundwater for Sustainable Development 23, 100990, 2023 | 14 | 2023 |
| Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation K Amankulova, N Farmonov, L Mucsi Smart Agricultural Technology 3, 100098, 2023 | 13 | 2023 |
| Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression K Amankulova, N Farmonov, P Akramova, I Tursunov, L Mucsi Heliyon 9 (6), 2023 | 11 | 2023 |
| Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation N Farmonov, K Amankulova, J Szatmári, J Urinov, Z Narmanov, J Nosirov, ... International Journal of Digital Earth 16 (1), 847-867, 2023 | 8 | 2023 |
| Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology K Amankulova, N Farmonov, U Mukhtorov, L Mucsi Geocarto international 38 (1), 2197509, 2023 | 7 | 2023 |
| Investigation the reason of affected Hybrid Corn in Agricultural Fields by Using Multi-Temporal Sentinel-2 Images in Mezőhegyes, South-Eastern Hungary K Amankulova, N Farmonov, AV Gudmann, K Bónus, L Mucsi Debreceni Egyetemi Kiadó, 2021 | 3 | 2021 |
| Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning K Amankulova, N Farmonov, K Omonov, M Abdurakhimova, L Mucsi Advances in Space Research, 2024 | 1 | 2024 |
| Corrigendum to “Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO … A Tariq, S Ali, I Basit, A Jamil, N Farmonov, B Khorrami, MM Khan, S Sadri, ... Groundwater for Sustainable Development 23, 101026, 2023 | | 2023 |
| Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting N Farmonov, K Amankulova, SN Khan, M Abdurakhimova, J Szatmári, ... Hungarian Geographical Bulletin 72 (4), 383-398, 2023 | | 2023 |
| Investigation the reason of affected Hybrid Corn in Agricultural Fields by Using Multi-Temporal Sentinel-2 Images in Mezohegyes, South-Eastern Hungary LM Khilola Amankulova, Nizom Farmonov, András Gudmann, Krisztián Bónus Hungarian GIS Conference and Exhibition 12 (THEORY MEETS PRACTICE IN GIS), 10, 2021 | | 2021 |
| INTRODUCTION OF GEOLOGICAL SYSTEM IN DETERMINATION OF WATER COST, AND INTEGRATION OF DATABASE TO TAX SYSTEM NQ Farmonov, DKU Najimov, AJU Juraev Scientific progress 2 (3), 296-305, 2021 | | 2021 |
| DESIS hiperspektrális űrfelvételek első magyarországi alkalmazása terméshozam becslésre AV Gudmann, F Nizom, K Bónus, L Mucsi Debreceni Egyetemi Kiadó, 2021 | | 2021 |
| MODERN IMPROVED GEODETICAL, GEOINFORMATION AND CARTOGRAPHIC METHODS IN CREATION OF THE ATLAS OF CULTURAL HERITAGE MONUMENTS IN BUKHARA REGION NQ Farmonov Эффективность применения инновационных технологий и техники в сельском и …, 2020 | | 2020 |
| Groundwater for Sustainable Development S Haris, X Qiu, H Klammler, MMA Mohamed | | |
