Syngenta AI Challenge 2017 to address world hunger with machine learning.
Application Deadline: June 1, 2017,
- The competition focuses on using artificial intelligence and machine learning to overcome challenges faced by the agriculture industry
- Entrants apply programming skills to improve seed yield and farm productivity
- Kick-off information sessions to be held at major universities
The 2017 Syngenta AI Challenge in the first of two collaborations between Syngenta and the AI for Good Foundation that focuses on bringing data and analytical modeling to the agriculture industry.
The competition challenges participants to develop a model that can be used to analyze large amounts of seed data more effectively, ultimately leading to improvements in the world’s ability to grow more food in the face of changing environments – without using more resources. The premise of the competition underscores Syngenta’s commitment to make crops more efficient – an important tenet of The Good Growth Plan, Syngenta’s global initiative to improve the sustainability of agriculture.
- Entrants will be provided datasets that include seed genetic information as well as soil, weather and climate data.
- Entries will be evaluated based on the rigor and validity of the process used to determine which variety or varieties are selected for planting and should include a documented methodology.
- Contestants must be 18 years or older to participate.
- The winner will receive $7,500; the runner-up, $5,000; and the third-place entry, $2,500.
- Entries must be submitted by June 1, 2017, and finalists will be announced July 14, 2017.
Competition information sessions at several major universities are scheduled to take place from February through June:
- Federal University of São Carlos: February 3
- University of São Paulo: February 3
- University of Chicago: First week of February
- Jožef Stefan Institute: February 10
- New York University: Second week of February
- Carnegie Mellon University: February 13
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