Syngenta Competition Encourages Use of Advanced Analytics in Agriculture6 months ago -
The Analytics Society of INFORMS, a flagship community of the leading international association for professionals in operations research and analytics, has selected the competition finalists for the 2017 Syngenta Crop Challenge in Analytics. The Crop Challenge tasks participants to apply analytics to develop a model that predicts which soybean seed varieties are more likely to be chosen by farmers in a growing region.
“After multiple rounds of evaluation, the prize committee has selected five excellent submissions for this year’s Syngenta Crop Challenge in Analytics award. This competition clearly demonstrated that innovations in the agriculture industry can come from creative problem solvers anywhere in the world,” says Robin Lougee, research industry lead at IBM Research and committee chair of the Crop Challenge prize committee.
The competition aims to address the problem of world hunger and food insecurity by fueling innovation in the application of advanced analytics in biochemistry and agriculture.
The finalists are:
- A Decision Making Approach for Soy Seed Variety Selection via Hedging Against Weather Risk – Zhongshun Shi, Yu Zhao, Xi Zhang and Leyuan Shi, Peking University, China.
- A Hierarchical-Ensemble of Machineries to Optimize the Choice of Soybean Varieties – Durai Sundaramoorthi, Lingxiu Dong, Iva Rashkova and Piruthiviraj Sivaraj, Washington University in St. Louis, St. Louis, Missouri.
- Portfolio Optimization for Seed Selection in Diverse Weather Scenarios – Oskar Marko, Sanja Brdar, Marko Panić, Isidora Šašić, Milivoje Knežević, Danica Despotović, Vladmir Crnojević and Zorana Djindjica, University of Novi Sad, Serbia.
- Seed Stocking Via Multi-Task Learning – Yunhe Feng and Wenjun Zhou, University of Tennessee, Knoxville, Tennessee.
- Soybean Portfolio Selection with LASSO Model Averaging and Integer Linear Programming – Benjamin Harlander and Taylor Thiel, University of Illinois, Urbana-Champaign, Illinois.
These finalists will make their presentations April 3 at the INFORMS Analytics Conference in Las Vegas, Nevada. Their entries will be evaluated based on the rigor and validity of the process used to determine seed varieties, the quality of the proposed solution, and the finalists’ ability to clearly articulate the solution and its methodology.
“The quality of submissions received from this competition underscores the level of excellence that participants from outside the industry can bring to this field,” said Joseph Byrum, Ph.D., MBA, PMP, senior R&D strategic marketing executive with Syngenta and Syngenta lead for the Crop Challenge committee. “We are so excited to see the value that new ideas in analytics bring to increasing efficiency and productivity in seed breeding.”
The winners will be announced following the presentations. The first place winner of the Syngenta Crop Challenge will be awarded $5,000; the runner up will receive $2,500; and the third place entry will receive $1,000.
As the recipient of the 2015 INFORMS Franz Edelman Award for its innovations in the use of analytics for seed breeding, Syngenta donated the prize money in support of this challenge.
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