The Intersection of Mathematics,
Agriculture and Big Data

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The population of Earth is growing by 200,000 people per day and is projected to reach 9.8 billion in 2050, yet our world is running out of cropland — land needed to produce food. And we’re currently using our arable land and water 50 percent faster than the planet can sustain. At the same time, the crops farmers plant face an unprecedented set of obstacles due to increasingly limited growing conditions and climate change.

How Syngenta is Using Data to Feed the Future World

How will we be able to grow enough food to meet world demand?

Today, the agriculture industry works to maximize the amount of food we gain from crops by breeding plants with the strongest, highest-yielding genetics. Scientists at research and development organizations like Syngenta create more resilient plants by breeding and then selecting the best offspring, over time, to provide to farmers.

We’ve proven that data-driven strategies can help our industry breed better seeds that require fewer resources and are adaptable to more diverse environments. Developing models that identify robust patterns in our experimental data may help scientists more accurately choose seeds that increase the productivity of the crops we plant – and will help address the growing global food demand.

How can we use data to accomplish this?

Learn More   Webinars


FIRST PLACE   $5,000


THIRD PLACE   $1,000


January 18, 2019
Deadline for Submissions

March 2019
Finalists Announced

April 14-16, 2019
Finalist Presentations
and Winner Announcement