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Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets

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  • Bregaglio, Simone
  • Ginaldi, Fabrizio
  • Raparelli, Elisabetta
  • Fila, Gianni
  • Bajocco, Sofia

Abstract

The assimilation of Remote Sensing (RS) data into crop models improves the accuracy of yield predictions by considering crop growth dynamics and their spatial heterogeneity due to the different management practices and environmental conditions.

Suggested Citation

  • Bregaglio, Simone & Ginaldi, Fabrizio & Raparelli, Elisabetta & Fila, Gianni & Bajocco, Sofia, 2023. "Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets," Agricultural Systems, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:agisys:v:209:y:2023:i:c:s0308521x23000719
    DOI: 10.1016/j.agsy.2023.103666
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    References listed on IDEAS

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