2018 Syngenta Crop Challenge in Analytics Winner Announced
A team from the International Center for Tropical Agriculture in Colombia is the winner of the third-annual Syngenta Crop Challenge in Analytics.
By Cindy Whitt
Syngenta and the Analytics Society of INFORMS recently recognized a team from the International Center for Tropical Agriculture (CIAT) in Colombia as the winner of the third annual Syngenta Crop Challenge in Analytics, which fosters cross-industry collaboration between agriculture and data analytics experts to help address growing global food demands.
The International Center for Tropical Agriculture in Colombia was named the winner of this year’s @SyngentaUS Crop Challenge in Analytics.
CIAT is a not-for-profit research and development organization that aims to reduce poverty and hunger in developing countries by helping farmers improve crop production sustainably.
The winning team—which included Andres Aguilar, Hugo “Andres” Dorado Bentencourt, Sylvain Delerce, Michael Caraccio, Juan Camilo Rivera, Maria Camila Gomez, Steven Humberto Sotelo and Anestis Gkanogiannis—was awarded a $5,000 prize for its submission, “Speeding Up Maize Hybrids Breeding Schemes Using Machine Learning.”
Challenge participants used a real-world dataset to develop models that predict how well corn hybrids will perform in untested locations, so that plant breeders can make better decisions regarding which hybrids to commercialize.
“This annual competition gives Syngenta a way to reach and collaborate with data analytics experts, who can help us confront the challenge of global food security.”
“The winning submission represents the type of analytical thinking that can enable sustainable agriculture for the future,” says Dan Dyer, head of seeds development at Syngenta. “This annual competition gives Syngenta a way to reach and collaborate with data analytics experts, who can help us confront the challenge of global food security.”
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