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7 ta ish

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

  1. Improving the assessment of agricultural land reclamation condition using GIS based on the interdependence of the factors impact

    Sunnatilla Goibberdiev, Gulomkhodja Ikromkhodjaev, Ziynatdin Tajekeev +3

    MaqolaEngineering and Agricultural InnovationsE3S Web of Conferences202312 iqtibos
    ABI

  2. Development of the technological system of creating an electronic map of agriculture using GIS technology

    Rustam Oymatov, Mamanbek Reymov, Sharafiddin Narbaev +3

    MaqolaEngineering and Agricultural InnovationsE3S Web of Conferences20230 iqtibos
    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

    MaqolaRemote Sensing in AgricultureAdvances in Space Research20240 iqtibos
    ABI

  4. Study of using GIS technologies in forestry cadastre and monitoring for environmental sustainability

    Zulfiya Khafizova, Uzbekkhon Mukhtarov, K Rakhimova Nodira

    MaqolaEngineering and Agricultural InnovationsIOP Conference Series Earth and Environmental Science20240 iqtibos
    ABI

  5. Study of pasture biomass and grazing intensity using remote sensing data in mountain area

    Zokhid Mamatkulov, Nurali Umarov, Rahimjon Makhsudov +4

    MaqolaRemote Sensing and Land UseE3S Web of Conferences20240 iqtibos
    ABI

  6. Study of assessment and monitoring of pastures land areas in hills based on GIS technologies (case study Southern Uzbekistan)

    Doniyor Shogdarov, Uzbekkhon Mukhtorov, Utkir Islomov +4

    MaqolaEngineering and Agricultural InnovationsE3S Web of Conferences20240 iqtibos
    ABI

  7. Modern methods for creating atmospheric pressure maps using GIS technologies

    Zulfiya Khafizova, Uzbekkhon Mukhtorov, I. A. Aslanov

    MaqolaAtmospheric and Environmental Gas DynamicsAIP conference proceedings20250 iqtibos
    ABI