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5 works

Work: Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques

  1. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

    Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

    ArticleRemote Sensing in AgricultureGeocarto International20237 citations
    ABI

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

    Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

    ArticleRemote Sensing in AgricultureHungarian Geographical Bulletin20241 citations
    ABI

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

    Khilola Amankulova, Nizom Farmonov, Khasan Omonov +2

    ArticleRemote Sensing in AgricultureAdvances in Space Research20240 citations
    ABI

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

    Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

    ArticleRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing20240 citations
    ABI

  5. Spatio-Temporal Assessment of Land Cover Change and Cropping Pattern Variation Using Cloud-Based Earth Observation Analytics

    Lal Mohammad, Jatisankar Bandyopadhyay, Ismail Mondal +3

    ArticleRemote Sensing in AgricultureJournal of the Indian Society of Remote Sensing20260 citations
    ABI