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46 ta ish

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

  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. Classification and Regression by randomForest

    Andy Liaw, Matthew C. Wiener

    Maqola20078 iqtibos
    ABI
  5. Sarlavhasiz

    Boshqa4 iqtibos
    ABI
  6. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

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

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Maqola20194 iqtibos
    ABI
  8. A modified soil adjusted vegetation index

    Jiaguo Qi, Abdelghani Chehbouni, Alfredo Huete +2

    Maqola19944 iqtibos
    ABI
  9. A uniform decimal code for growth stages of crops and weeds

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

    Maqola19912 iqtibos
    ABI
  10. Global Food Security: Challenges and Policies

    Mark W. Rosegrant, Sarah A. Cline

    Maqola20032 iqtibos
    ABI
  11. Use of Remote‐Sensing Imagery to Estimate Corn Grain Yield

    John F. Shanahan, James S. Schepers, D. D. Francis +5

    Maqola20012 iqtibos
    ABI
  12. Evaluation of the MERIS terrestrial chlorophyll index (MTCI)

    Jadunandan Dash, Paul J. Curran

    Maqola20062 iqtibos
    ABI