This is a guest post by the data science team at Bayer Crop Science.
Farmers have always collected and evaluated a large amount of data with each growing season: seeds planted, crop protection inputs applied, crops harvested, and much more. The rise of data science and digital technologies provides farmers with a wealth of new information. At Bayer Crop Science, we use AI and machine learning (ML) to help farmers achieve more bountiful and sustainable harvests. We also use data science to accelerate our research and development process; create efficiencies in production, operations, and supply chain; and improve customer experience.
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