According to the United Nations, the world’s population is expected to grow by 3 billion within the next 30 years. To feed that many, food production will need to double.
But as of today, we’re already using 70% of the planet’s freshwater for agriculture. There isn’t enough water or land to sustain current farming practices, let alone to grow twice as much.
Researchers at North Carolina State University (NCSU) — a leading public research university with over 34,000 students — are working on a sustainable solution.
Inside their Center for Geospatial Analytics, they’re starting to find and analyze patterns in spatiotemporal data sets in order to better understand and eventually predict large-scale climate events like floods, droughts, wildfires, and crop yields.
By doing this, they can help large-scale farms determine when to water their crops and when to hold back — saving the resources we so desperately need.
In order to analyze such large, high dimensional heterogenous datasets for such a large-scale problem, their team needed high-performance computers with the latest AI and deep learning technologies.
However, they were having a hard time securing the academic funding needed to purchase them.
Securing the resources
Lenovo teamed up with NCSU to give their Center for Geospatial Analytics researchers access to the powerful supercomputing facilities at the Lenovo Artificial Intelligence Innovation Center in Morrisville, North Carolina.
The Lenovo AI Innovation Center has a wide range of high-performance computing resources, including the latest Lenovo ThinkSystem servers with Intel® Xeon® Scalable processors.
Now that their technology problems were solved, they could start solving bigger ones.
With their new AI capabilities, the NCSU Center for Geospacial Analytics researchers can analyze huge amounts of sensor data from farms across the United States.
Based on regional weather patterns, they are now able to predict the best times to irrigate crops — reducing water waste and improving sustainability, as a result.
Analyzing more data, faster
Accelerating projects with new algorithms
Reducing water waste
Changing the world