IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v46y2016i1p5-17.html
   My bibliography  Save this article

Advanced Analytics for Agricultural Product Development

Author

Listed:
  • Joseph Byrum

    (Syngenta, Slater, Iowa 50244)

  • Craig Davis

    (Syngenta, Slater, Iowa 50244)

  • Gregory Doonan

    (Syngenta, Slater, Iowa 50244)

  • Tracy Doubler

    (Syngenta, Slater, Iowa 50244)

  • David Foster

    (Syngenta, Slater, Iowa 50244)

  • Bruce Luzzi

    (Syngenta, Slater, Iowa 50244)

  • Ronald Mowers

    (Syngenta, Slater, Iowa 50244)

  • Chris Zinselmeier

    (Syngenta, Slater, Iowa 50244)

  • Jack Kloeber

    (Kromite LLC, Lambertville, New Jersey 08530)

  • Dave Culhane

    (Kromite LLC, Lambertville, New Jersey 08530)

  • Stephen Mack

    (Kromite LLC, Lambertville, New Jersey 08530)

Abstract

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.

Suggested Citation

  • Joseph Byrum & Craig Davis & Gregory Doonan & Tracy Doubler & David Foster & Bruce Luzzi & Ronald Mowers & Chris Zinselmeier & Jack Kloeber & Dave Culhane & Stephen Mack, 2016. "Advanced Analytics for Agricultural Product Development," Interfaces, INFORMS, vol. 46(1), pages 5-17, February.
    • Handle: RePEc:inm:orinte:v:46:y:2016:i:1:p:5-17
    DOI: 10.1287/inte.2015.0823
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.2015.0823
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.2015.0823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael F. Gorman, 2021. "Contextual Complications in Analytical Modeling: When the Problem is Not the Problem," Interfaces, INFORMS, vol. 51(4), pages 245-261, July.
    2. Joseph Byrum & Bill Beavis & Craig Davis & Greg Doonan & Tracy Doubler & Von Kaster & Ron Mowers & Sam Parry, 2017. "Genetic Gain Performance Metric Accelerates Agricultural Productivity," Interfaces, INFORMS, vol. 47(5), pages 442-453, October.
    3. Urbinati, Andrea & Bogers, Marcel & Chiesa, Vittorio & Frattini, Federico, 2019. "Creating and capturing value from Big Data: A multiple-case study analysis of provider companies," Technovation, Elsevier, vol. 84, pages 21-36.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:46:y:2016:i:1:p:5-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.