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Harnessing data and digital science to advance agriculture

Agriculture has always been powered by innovation. Today, digital science and AI are allowing us to shift from trial-and-error approaches to predictive design, turning complex data into actionable insights to help deliver better solutions for farmers and the planet, faster and with more precision than ever before. This includes transforming how we discover, develop, and deliver technologies to farmers around the world.
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Accelerating discovery

Digital science and AI are revolutionizing discovery by allowing us to trade randomness and chance for prediction, specificity and design. For example, by integrating genomic data with predictive models, we can identify the best genetic edits to improve seed traits like yield and disease resistance – unlocking the next generation of highly targeted technologies.
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Advancing development and delivery

Digital science and AI play a critical role beyond discovery by helping improve how seed innovations are developed, scaled, and delivered. Throughout development, AI enabled tools support stronger decision making, improve consistency, and help optimize processes – allowing promising technologies to move forward with greater confidence.
These capabilities help ensure new seed innovations can be delivered reliably, at scale, and with efficiency, supporting long term productivity.
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Empowering farmers with smart tools

By embedding AI into our digital tools, we enable farmers to make more precise and timely data-driven decisions. Tools like Granular Insights provide field-specific intelligence that helps farmers manage complexity across varying environmental conditions, reduce crop loss and generate the most value from every acre.
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Delivering lasting impact

By accelerating innovation, improving decision making, and supporting farmers with smarter tools, digital science and AI enables progress that is both sustainable and scalable. It helps ensure agriculture continues to meet global needs while protecting the resources future generations depend on.
We’ve been applying digital science and AI in agriculture for years, and we’re only beginning to realize its full potential. It’s a catalyst for smarter farming and a more resilient food system.