Article
Research spotlight: Improving OFE data for machine learning models
Machine learning (ML) models can predict optimal nitrogen fertilizer rates using trial crop responses and related grain growing data. Calaço et al. (2025) argue that on-farm experimental data for ML models can be improved by prioritising more and simpler experiments across a region than field-specific models from replicated whole-field designs. Available here.