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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. Overview of the radiometric and biophysical performance of the MODIS vegetation indices

    Alfredo Huete, Kamel Didan, Tomoaki Miura +3

    Maqola200213 iqtibos
    ABI

  5. Use of a green channel in remote sensing of global vegetation from EOS-MODIS

    Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak

    Maqola199610 iqtibos
    ABI

  6. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

    Jinru Xue, Baofeng Su

    Sharh maqola20177 iqtibos
    ABI

  7. Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques

    Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi

    Maqola20105 iqtibos
    ABI

  8. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

    Maqola20054 iqtibos
    ABI

  9. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Maqola20194 iqtibos
    ABI

  10. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Maqola20193 iqtibos
    ABI

  11. Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

    Raí Augusto Schwalbert, Telmo Jorge Carneiro Amado, Geomar Mateus Corassa +3

    Maqola20203 iqtibos
    ABI

  12. Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation

    Khilola Amankulova, Nizom Farmonov, László Mucsi

    Maqola20223 iqtibos
    ABI

  13. Crop yield prediction from remotely sensed vegetation indices and primary productivity in arid and semi-arid lands

    Hadi Jaafar, Farah Ahmad

    Maqola20152 iqtibos
    ABI

  14. Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

    Douglas K. Bolton, M. A. Friedl

    Maqola20132 iqtibos
    ABI

  15. A uniform decimal code for growth stages of crops and weeds

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

    Maqola19912 iqtibos
    ABI

  16. The Control of Errors in Momentary Yield Data from Combine Harvesters

    Lars Thylén, Donal Patrick Murphy

    Maqola19962 iqtibos
    ABI

  17. Random Forests for Global and Regional Crop Yield Predictions

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

    Maqola20162 iqtibos
    ABI

  18. Combining Spatial and Temporal Corn Silage Yield Variability for Management Zone Development

    Tulsi P. Kharel, Ángel Maresma, Karl Czymmek +2

    Maqola20192 iqtibos
    ABI

  19. Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling

    Sadia Alam Shammi, Qingmin Meng

    Maqola20202 iqtibos
    ABI

  20. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  21. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  23. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  24. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI