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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

    Maqola200167 iqtibos
    ABI
  2. A soil-adjusted vegetation index (SAVI)

    Alfredo Huete

    Maqola198823 iqtibos
    ABI
  3. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    Maqola197919 iqtibos
    ABI
  4. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

    Jinru Xue, Baofeng Su

    Sharh maqola20177 iqtibos
    ABI
  5. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

    Maqola20054 iqtibos
    ABI
  6. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Maqola20194 iqtibos
    ABI
  7. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Maqola20193 iqtibos
    ABI
  8. A uniform decimal code for growth stages of crops and weeds

    Peter Lancashire, H. Bleiholder, T. van den Boom +4

    Maqola19912 iqtibos
    ABI
  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  10. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  11. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  12. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  13. Sarlavhasiz

    Boshqa1 iqtibos
    ABI
  14. Sarlavhasiz

    Boshqa1 iqtibos
    ABI