Published statistical methods fail to accurately estimate crop production potential

Abstract

Estimating yield potential and yield gaps is crucial for global food security. However, many studies rely on statistical methods that lack theoretical and empirical justification for their use. We show that well-validated crop models, combined with local weather and soil data, provide a more accurate assessment of production potential.