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Matching the model to the available data to predict wheat, barley, or canola yield: A review of recently published models and data

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Listed:
  • Clark, Robert
  • Dahlhaus, Peter
  • Robinson, Nathan
  • Larkins, Jo-ann
  • Morse-McNabb, Elizabeth

Abstract

Continued increases in global population and rising living standards in many countries are driving a surge in demand for energy and protein-rich foods. Wheat, barley, and canola are important crops that are grown and traded globally. However, climate change, geopolitical tensions and competition from other crops threaten the ability to satisfy global demand. Accurate predictions of crop production and its spatial variation can play a significant role in their reliable and efficient production, marketing, and distribution.

Suggested Citation

  • Clark, Robert & Dahlhaus, Peter & Robinson, Nathan & Larkins, Jo-ann & Morse-McNabb, Elizabeth, 2023. "Matching the model to the available data to predict wheat, barley, or canola yield: A review of recently published models and data," Agricultural Systems, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:agisys:v:211:y:2023:i:c:s0308521x23001543
    DOI: 10.1016/j.agsy.2023.103749
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    References listed on IDEAS

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    1. Allen G Good & Perrin H Beatty, 2011. "Fertilizing Nature: A Tragedy of Excess in the Commons," PLOS Biology, Public Library of Science, vol. 9(8), pages 1-9, August.
    2. Fritz, Steffen & See, Linda & Bayas, Juan Carlos Laso & Waldner, François & Jacques, Damien & Becker-Reshef, Inbal & Whitcraft, Alyssa & Baruth, Bettina & Bonifacio, Rogerio & Crutchfield, Jim & Rembo, 2019. "A comparison of global agricultural monitoring systems and current gaps," Agricultural Systems, Elsevier, vol. 168(C), pages 258-272.
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