SPONSORED BY THE ANALYTICS SOCIETY OF INFORMS
Did you know that 200,000 people are born every day? That means we’ll be sharing our planet with 2 billion more people by the year 2050! You might not think about how we’ll feed everyone, but at Syngenta, it’s all we think about. The challenges are real; we’re stressing our planet’s natural resources, like land and water, 50 percent faster than it can sustain. At the same time, the crops that farmers grow face an unprecedented set of obstacles due to increasingly volatile growing conditions and climate change.
How will we be able to grow enough food
to meet world demand?
Today, the agriculture industry works to optimize the amount of food we gain from plants by breeding two parent plants that have the strongest, highest-yielding genetics. Scientists at research and development organizations like Syngenta create stronger plants by breeding those parents and then selecting the best offspring over time to provide to farmers.
We’ve proven that data-driven strategies can help our industry breed 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.
We need your help to find a solution!
Water is a crucial component to successfully growing crops. However, only 3% of the world's water is freshwater, and 70% of freshwater is used in agriculture. As the world's population increases, agriculture will need to use water more efficiently. In addition, climate patterns are changing and many locations may see limited precipitation or high heat during the growing season. We need to be developing crops that can continue to produce strong yields while consuming less of our precious resources.
While last year’s Syngenta’s crop challenge, sponsored by the Analytics Society of INFORMS, focused on predicting corn hybrid performance in new, untested locations, this year’s challenge will focus on identifying corn hybrids that can better manage heat stress and efficiently use water.
Our data, combined with your analytics and mathematical skills, can help areas of the world that face harsh growing conditions.
To be announced soon