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49 ta ish

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

  1. Random Forests

    Leo Breiman

    MaqolaOchiq kirish2001117 iqtibos
    ABI
  2. A soil-adjusted vegetation index (SAVI)

    Alfredo Huete

    Maqola198829 iqtibos
    ABI
  3. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    MaqolaOchiq kirish197925 iqtibos
    ABI
  4. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

    Jinru Xue, Baofeng Su

    Sharh maqolaOchiq kirish201710 iqtibos
    ABI
  5. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    MaqolaOchiq kirish20195 iqtibos
    ABI
  6. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

    MaqolaOchiq kirish20054 iqtibos
    ABI
  7. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    MaqolaOchiq kirish20194 iqtibos
    ABI
  8. Sarlavhasiz

    BoshqaOchiq kirish3 iqtibos
    ABI
  9. Sarlavhasiz

    Boshqa2 iqtibos
    ABI
  10. Random Forests for Global and Regional Crop Yield Predictions

    Jig Han Jeong, Jonathan P. Resop, Nathaniel D. Mueller +8

    MaqolaOchiq kirish20162 iqtibos
    ABI
  11. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI
  12. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI
  13. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI
  14. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI