How might accurately predicting crop harvests help curb malnutrition? Lillian Kay Petersen, a 17-year old from Los Alamos, N.M., has created a tool that's intended to do that.
First, she analyzed daily satellite imagery on known domestic crop data. Then she applied that data to countries in Africa and successfully predicted crop yields.
Petersen's project won her first place and $250,000 in the Regeneron Science Talent Search on Wednesday night. It's one of the most prestigious science and math competitions for high school seniors.