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49 та иш

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

  1. Random Forests

    Leo Breiman

    Мақола200167 иқтибос
    ABI

  2. A soil-adjusted vegetation index (SAVI)

    Alfredo Huete

    Мақола198823 иқтибос
    ABI

  3. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    Мақола197919 иқтибос
    ABI

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

    Alfredo Huete, Kamel Didan, Tomoaki Miura +3

    Мақола200213 иқтибос
    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

    Мақола199610 иқтибос
    ABI

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

    Jinru Xue, Baofeng Su

    Шарҳ мақола20177 иқтибос
    ABI

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

    Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi

    Мақола20105 иқтибос
    ABI

  8. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

    Мақола20054 иқтибос
    ABI

  9. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Мақола20194 иқтибос
    ABI

  10. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Мақола20193 иқтибос
    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

    Мақола20203 иқтибос
    ABI

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

    Khilola Amankulova, Nizom Farmonov, László Mucsi

    Мақола20223 иқтибос
    ABI

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

    Hadi Jaafar, Farah Ahmad

    Мақола20152 иқтибос
    ABI

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

    Douglas K. Bolton, M. A. Friedl

    Мақола20132 иқтибос
    ABI

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

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

    Мақола19912 иқтибос
    ABI

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

    Lars Thylén, Donal Patrick Murphy

    Мақола19962 иқтибос
    ABI

  17. Random Forests for Global and Regional Crop Yield Predictions

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

    Мақола20162 иқтибос
    ABI

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

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

    Мақола20192 иқтибос
    ABI

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

    Sadia Alam Shammi, Qingmin Meng

    Мақола20202 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI