The winning team is from the Fraunhofer Research Center for Machine Learning, Germany, one of Europe’s leading applied Big Data and AI research institutions.
RESEARCH TRIANGLE PARK, N.C., USA, April 16, 2019 – Syngenta and the Analytics Society of INFORMS are proud to recognize a team from Germany as the winner of the 2019 Syngenta Crop Challenge in Analytics.
The competition invited math and data analytics experts to use real-world agriculture data to create predictive models that could potentially help scientists accelerate the development of more resilient seed hybrids that can perform in diverse environments.
The winning team, which included Bogdan Georgiev, Kostadin Cvejoski, Cesar Ojeda, Jannis Schuecker and Anne-Katrin Mahlein, was awarded a $5,000 prize for the submission, “Combining expert knowledge and neural networks to model environmental stresses in agriculture.”
They represented the Fraunhofer Research Center for Machine Learning within the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Germany. A recent interest in using machine learning in agriculture spurred their interest in the Crop Challenge.
“Our team included computer scientists, data scientists and a mathematician,” said Bogdan Georgiev. “We had no prior experience with agriculture, so it was quite a thrill and a challenge to compete with the other contestants and contribute to agricultural research.”
Hosted by the Analytics Society of the Institute for Operations Research and the Management Sciences (INFORMS), the leading international association for operations research and analytics professionals, the competition concluded during the 2019 INFORMS Conference on Business Analytics & Operations Research in Austin, Texas. The four finalist teams presented their submissions for evaluation by the prize committee.
“All of the finalists brought the level of analytical thinking needed to solve some of the tremendous complexities we face in agriculture,” said Nicolas Martin, assistant professor at the University of Illinois at Urbana-Champaign, Crop Challenge prize committee chair and member of INFORMS. “The team from the Fraunhofer Research Center for Machine Learning demonstrated how its methodology can enhance agricultural research in a tangible way.”
The runner-up submission, “Crop stress classification using deep convolutional neural networks,” authored by Saeed Khaki and Zahra Khalilzadeh from Iowa State University, U.S.A., received a $2,500 prize.
The third place entry, “Engineering meteorological features to select stress tolerant hybrids in maize,” authored by Gordan Mimic, Sanja Brdar, Milica Brkic, Marko Panic, Oskar Marko and Vladimir Crnojevic from the BioSense Institute, Serbia, received a $1,000 prize.
“Cross-discipline collaboration can help us discover new ways to use agriculture data to inform seed breeding research and development,” said Gregory Doonan, head of novel algorithm advancement, Syngenta, and Crop Challenge judge. “The winning team represented the forward-thinking approach needed to improve crop productivity to meet the needs of a growing population.”
The Syngenta Crop Challenge in Analytics was established in 2015 with funding provided by prize winnings awarded to Syngenta in connection with the company’s 2015 win of the Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science, the world’s most prestigious award for achievement in the practice of analytics and operations research.
The competition seeks collaboration across disciplines to discover new ways of improving crop productivity, which aligns with the Syngenta global commitment to accelerate innovation in a changing world.
For more information about the Syngenta Crop Challenge in Analytics, visit www.ideaconnection.com/syngenta-crop-challenge. Join the conversation online – connect with Syngenta at Syngenta-us.com/social.
About Syngenta
Syngenta is one of the world’s leading agriculture companies. Our ambition is to help safely feed the world while taking care of the planet. We aim to improve the sustainability, quality and safety of agriculture with world class science and innovative crop solutions. Our technologies enable millions of farmers around the world to make better use of limited agricultural resources. With 28,000 people in more than 90 countries we are working to transform how crops are grown. Through partnerships, collaboration and The Good Growth Plan we are committed to improving farm productivity, rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. To learn more visit www.syngenta.com and www.goodgrowthplan.com. Follow us on X at www.twitter.com/Syngenta and www.twitter.com/SyngentaUS.
About INFORMS
With 12,500 members from nearly 90 countries, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individual professionals, and organizations of all types and sizes, to better understand and use O.R. and analytics tools and methods to transform strategic visions and achieve better outcomes.
The INFORMS Analytics Society, a community of INFORMS, promotes the integration of a wide range of analytical techniques and supports activities that illuminate significant innovations and achievement in the growing field of analytics.
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