2020 Syngenta Crop Challenge in Analytics finalists

Submissions received from data analytics, math and statistics students and professionals

Syngenta and the Analytics Society of INFORMS Tuesday announced the finalists for the 2020 Syngenta Crop Challenge in Analytics.

 

 

Now in its fifth year, the Syngenta Crop Challenge in Analytics is a collaborative effort between Syngenta and the Analytics Society of the Institute for Operations Research and the Management Sciences (INFORMS). The competition brings together experts in data analytics, mathematics and statistics, underscoring the importance of cross-industry collaboration in addressing challenges unique to agriculture.

The 2020 Syngenta Crop Challenge finalists, as selected by the prize committee and listed in no particular order, are:

  • Yield Performance of Plant Breeding Prediction with Interaction Based Algorithm – Javad Ansarifar, Faezeh Akhavizadegan and Lizhi Wang from Iowa State University (USA)
  • Hybrid Crop Yield Prediction Using Deep Factorization Methods with Integrated Modeling of Implicit and Explicit High-Order Latent Variable Interactions – Shouyi Wang, Jie Han, Fangyun Bai and Ho Manh Linh from University of Texas at Arlington (USA)
  • Combining Strong Learners to Predict Yield of Maize Hybrids  Craig A. Rolling, Isaac Akogwu, Christopher Cotter and Yalda Zare from Benson Hill (USA)
  • Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach – Saeed Khaki, Zahra Khalilzadeh and Lizhi Wang from Iowa State University (USA)
  • H4H: A Hybrid Approach Combining Descriptive Statistics and Collaborative Filtering for Predicting the Performance of Hybrid Breeding – Pythagoras Karampiperis, Sotiris Konstantinidis, Antonis Koukourikos and Panagiotis Zervas from SCiO (Greece)

The 2020 Syngenta Crop Challenge tasked participants to deliver analytical approaches to improve complex crop breeding processes. Using real-world crop data, entrants developed models predicting the performance of various genetic combinations in corn.

“The prize committee was unanimous in its praise for the creativity and sophistication of the models submitted by this year’s finalists,” said Durai Sundaramoorthi, area coordinator and senior lecturer of data analytics at Olin Business School, Washington University in St. Louis, and Crop Challenge prize committee chair. “The complexity in agriculture is vast, and these finalists’ submissions demonstrated how solutions rooted in data analytics and machine learning can help the industry navigate the multi-variable nature of plant breeding.”

The finalists have been invited to present their submissions remotely to the prize committee in April 2020. The first-place winner will receive $5,000; the second-place winner will receive $2,500; and third place will receive $1,000.

“This competition has once again brought to light how agriculture – and plant breeding, specifically – can benefit from ideas contributed by some of the brightest minds in data analytics, mathematics, statistics and machine learning,” said Gregory Doonan, head of advanced analytics, Syngenta, and Crop Challenge judge. “This segment of the industry has seen great advancements in recent years, and data analytics has played a driving role.”

Established in 2015, the Syngenta Crop Challenge in Analytics is supported by Syngenta and hosted by the Analytics Society of INFORMS. It was initially funded by prize winnings donated by Syngenta in connection with the company’s 2015 win of the Franz Edelman Award for Achievement in Operations Research and the Management Sciences, an international award that recognizes excellence in the industry.

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 Twitter at www.twitter.com/Syngenta and www.twitter.com/SyngentaUS.

 

 

About INFORMS
With more than 12,000 members from around the world, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individuals and organizations to better understand and use O.R. and analytics tools and methods to save lives, save money, and solve problems.

The INFORMS Analytics Society, a subdivision of INFORMS, promotes the integration of a wide range of analytical techniques and supports activities that illuminate significant innovations and achievements in the growing field of analytics.

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