Differences in growth features between species are driving cereal-legume intercrop yield: a statistical learning approach based on aggregated dataset
Rémi Mahmoud, Noémie Gaudio, Xavier Gendre, Nadine Hilgert, Pierre Casadebaig
This study uses machine learning and mixed-effects models on aggregated field experiment data to identify growth trait differences driving cereal-legume intercrop yield.
European Journal of Agronomy · Jul 15, 2025Peer-reviewedEcology