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The International Maize and Wheat Improvement Center (CIMMYT) and BioSense Institute jointly won the CGIAR Platform for Big Data in Agriculture Inspire Challenge in 2018 for machine learning for smarter seed selection. This project, which is piloted with maize farmers in Mexico, will help ensure that farmers are getting the best seed variety possible for their farm, allowing them to reduce risk, save money and improve their yields and food security.

We recently interviewed Kai Sonder, GIS laboratory manager and foresight specialist at CIMMYT, and Alberto Chassaigne, maize seed systems specialist at CIMMYT, members of the winning team to discuss this initiative and what they hope to achieve.

Read the Q&A on →