Advanced Analytics for Agricultural Product Development

Syngenta, a leading developer of crop varieties (seeds) that provide food for human and livestock consumption, is committed to bringing greater food security to an increasingly populous world by creating a transformational shift in farm productivity. Syngenta Soybean Research and Development (R&...

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Bibliographic Details
Published in:Interfaces (Providence) 2016-01, Vol.46 (1), p.5-17
Main Authors: Byrum, Joseph, Davis, Craig, Doonan, Gregory, Doubler, Tracy, Foster, David, Luzzi, Bruce, Mowers, Ronald, Zinselmeier, Chris, Kloeber, Jack, Culhane, Dave, Mack, Stephen
Format: Article
Language:English
Subjects:
Agribusiness
Agricultural innovations
Agricultural production
agriculture
Agrofood industry
breeding
data quality
Electronic data processing
Methods
Monte Carlo simulation
optimization
Product development
R&D
Research & development
simulation
soybean
Soybeans
Strategic management
Studies
Switzerland
Syngenta International AG
Technology application
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Summary:Syngenta, a leading developer of crop varieties (seeds) that provide food for human and livestock consumption, is committed to bringing greater food security to an increasingly populous world by creating a transformational shift in farm productivity. Syngenta Soybean Research and Development (R&D) is leading Syngenta’s corporate plant-breeding strategy by developing and implementing a new product development model that is enabling the creation of an efficient and effective soybean breeding strategy. Key to the new strategy is the combination of advanced analytics and plant-breeding knowledge to find opportunities to increase crop productivity and optimize plant-breeding processes. Syngenta uses discrete-event and Monte Carlo simulation models to codify Syngenta Soybean R&D best practices, and uses stochastic optimization to create the best soybean breeding plans and strategically align its research efforts. As a result of using these new analytical tools, Syngenta estimates that it will save more than $287 million between 2012 and 2016.
ISSN:0092-2102
2644-0865
1526-551X
2644-0873
DOI:10.1287/inte.2015.0823