Innovation Challenges

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2020 Crop Challenge in Analytics (closed)

This challenge has closed.
Owner: Syngenta
Tags: Agriculture, Plant science, Commercial crops, Plant breeders, Model prediction, Data analytics
Audience: Other, Subject Matter Experts, Businesses, Start-Ups, Researchers, Students
Anticipated Funding: $5,000
Applications close: January 21, 2020
Last Updated: January 21, 2020 9:15 PM
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The Challenge

Today, the agriculture industry works to maximize the amount of food we gain from crops by breeding plants with the strongest, highest-yielding genetics. Plant breeding is complex, and data analytics can help scientists at research and development organizations like Syngenta make advances in seed product development.

We've proven that data-driven strategies can help our industry accelerate innovation and breed better seeds that require fewer resources and are adaptable to more diverse environments. Developing models that can predict the performance of potential corn products can help scientists more accurately select seeds that increase the productivity of the crops farmers plant – and will help address the growing global food demand. 

How can we use data to accomplish this?

Eligibility Criteria

For complete details on the eligibility criteria that govern 2020 Crop Challenge in Analytics please refer to the website.

Terms and Conditions

For complete details on the terms and conditions that govern 2020 Crop Challenge in Analytics please refer to the website.

How to Apply

To submit an application to the 2020 Crop Challenge in Analytics please refer to the website.

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