Search Results for author: Bernardo Maestrini

Found 1 papers, 0 papers with code

Integrating processed-based models and machine learning for crop yield prediction

no code implementations25 Jul 2023 Michiel G. J. Kallenberg, Bernardo Maestrini, Ron van Bree, Paul Ravensbergen, Christos Pylianidis, Frits van Evert, Ioannis N. Athanasiadis

When tested on real-world data from field trials (n=303) and commercial fields (n=77), the meta-modeling approach yields competitive results with respect to the crop growth model.

Crop Yield Prediction

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