Nizom Farmonov

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

Nizom Farmonov, Khilola Amankulova, József Szatmári et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2023 · 157 citations · Full text

Precision Agriculture, Environmental Monitoring, Machine Learning +24

Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

Seyed Mahdi Mirhoseini Nejad, Dariush Abbasi‐Moghadam, Alireza Sharifi et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2022 · 114 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Precision Agriculture +17

HypsLiDNet: 3-D–2-D CNN Model and Spatial–Spectral Morphological Attention for Crop Classification With DESIS and LiDAR Data

Nizom Farmonov, Mohammad Esmaeili, Dariush Abbasi‐Moghadam et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2024 · 79 citations · Full text

Convolutional Neural Network, Precision Agriculture, Crop Classification +19

Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data

Aqil Tariq, Shoaib Ali, Iqra Basit et al. · Groundwater for Sustainable Development · 2023 · 45 citations

Groundwater Storage Characteristics, Engineering, Water Resources +6

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

Nizom Farmonov, Khilola Amankulova, József Szatmári et al. · International Journal of Digital Earth · 2023 · 34 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +24