Data Science Drives Seed Breeding

This article highlights how data science is revolutionising seed breeding by incorporating genomic data, machine learning, and precision phenotyping. These technologies allow for faster identification of desirable traits, reduce breeding cycle time, and enhance climate resilience. The use of predictive analytics enables selection of high-yield varieties with greater efficiency, helping farmers respond to environmental variability. The article underscores the potential of big data in agriculture to transform crop improvement and boost global food security.