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Emanuel Büechi has just published a new article about crop yield anomaly forecasting in the Pannonian basin.

Correlations between measured and predicted yield anomalies

© Elsevier

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Workflow of the paper methodology

© Elsevier

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Graph showing the development of explanatory variables during the study time span.

© Elsevier

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Emanuel Büechi, opens an external URL in a new window has just published the article "Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought" in Elsevier's Agricultural and Forest Meteorology. 

Highlights:

  • Wheat and maize yield anomalies for the Pannonian basin are forecasted using XGBoost.
  • Maize yield anomalies can be forecasted accurately two months before harvest.
  • Impact of severe droughts on crop yield losses remains underestimated.
  • Forecasting of temporal yield variability is more reliable than spatial variability.
  • Soil moisture is the most important predictor for maize yields in drought years.

Check out the full article at the journal website, opens an external URL in a new window.