F. van Eeuwijk

Phenomics data processing: A plot-level model for repeated measurements to extract the timing of key stages and quantities at defined time points

The paper develops a plot-level model for processing repeated high-throughput field phenotyping data to extract key stages and quantities, showing that P-splines and QMER are more robust than percentiles for timing extraction.

Two decades of creating drought tolerant maize and underpinning prediction technologies in the US corn-belt: Review and perspectives on the future of crop design

This paper reviews drought tolerant maize breeding efforts and shows increased crop improvement rates, suggesting future crop design through integrated prediction technologies.

Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models

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.