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László Mucsi

Работ: 6

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

    СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7
    ABI

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

    Nizom Farmonov, Khilola Amankulova, József Szatmári +4

    СтатьяRemote Sensing in AgricultureInternational Journal of Digital Earth2023Цитирований: 3
    ABI

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

    Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

    СтатьяRemote Sensing in AgricultureHungarian Geographical Bulletin2024Цитирований: 1
    ABI

  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

    СтатьяRemote Sensing in AgricultureHeliyon2023Цитирований: 0
    ABI

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

    Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

    СтатьяRemote Sensing in AgricultureAdvances in Space Research2024Цитирований: 0
    ABI

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

    Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

    СтатьяRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2024Цитирований: 0
    ABI