Integrating stability zones and machine learning for enhanced crop management

Abstract Purpose Sustainable agriculture requires both high and stable crop yields. Whilegenotype-environment-management (G×E×M) interactions influence yield stability, implementingsuch understanding into practical applications demands better analytical tools. Yield StabilityZones (YSZ) effectively identify stable and unstable production areas, yet their implementationhas been constrained by data limitations and interpretability challenges. Precision agriculturenow enables the application of YSZ