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Data Science Drives Seed Breeding

1 January 2021
Media Article
Publisher : Seed World

15687

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.

Author(s) :

Carol Brown

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Key topics

Rural Development and Agriculture

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Technology for Social Change and Organisational Efficiency

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