Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models
R. F. McCormick, S. K. Truong, J. Rotundo, A. P. Gaspar, D. Kyle, F. van Eeuwijk, C. D. Messina
The paper develops a hybrid model combining knowledge-based and data-driven approaches to predict soybean phenology across continents, achieving lower error than existing benchmarks.
bioRxiv · Sep 22, 2020Plant Biology