Syngenta and the AI for Good Foundation have named Tzvi Aviv, Ph.D., of Aviv Innovation and his partner, Vanessa Lundsgaard-Nielsen, Ph.D., of the University of Toronto, as the winners of the Syngenta AI Challenge. The contest recognizes and rewards innovative thinkers who use artificial intelligence (AI) tools to improve plant breeding by challenging them to create a model that predicts seed variety performance.
The team earned a $5,000 prize for its entry, Ensemble of Cubist Models for Soy Yield Prediction using Soil Features and Remote Sensing Variables, following finalists’ presentations at the SIGKDD Conference on Knowledge Discovery and Data Mining in Halifax, Nova Scotia. The winning submission set forth a novel mathematical model that can be used to help plant breeders determine the performance and viability of seed varieties—and inform commercial variety advancement decisions.
AI Challenge participants were provided access to a real-world data set and tasked todesign a model to help scientists analyze extensive soybean seed data more efficiently and effectively, improving the plant breeding process and ultimately, the world’s ability to grow more crops with fewer resources. Due to the complexity inherent in agriculture, data driven models are increasingly being deployed in making seed breeding decisions.
Syngenta, an award-winning company for its innovation in plant breeding analytics, supported this competition, which was sponsored by the AI for Good Foundation and in partnership with IdeaConnection.
The premise of the competition underscores Syngenta’s commitment to make crops more efficient—an essential pillar of The Good Growth Plan, the company’s global initiative to improve the sustainability of agriculture.
For more details about the Syngenta AI Challenge, please visitwww.ideaconnection.com/Syngenta-AI-Challenge/.
Syngenta & AI For Good Foundation Announce winner Of Syngenta AI Challenge
Posted in Commentary with tags AI For Good, Syngenta on August 16, 2017 by itnerdSyngenta and the AI for Good Foundation have named Tzvi Aviv, Ph.D., of Aviv Innovation and his partner, Vanessa Lundsgaard-Nielsen, Ph.D., of the University of Toronto, as the winners of the Syngenta AI Challenge. The contest recognizes and rewards innovative thinkers who use artificial intelligence (AI) tools to improve plant breeding by challenging them to create a model that predicts seed variety performance.
The team earned a $5,000 prize for its entry, Ensemble of Cubist Models for Soy Yield Prediction using Soil Features and Remote Sensing Variables, following finalists’ presentations at the SIGKDD Conference on Knowledge Discovery and Data Mining in Halifax, Nova Scotia. The winning submission set forth a novel mathematical model that can be used to help plant breeders determine the performance and viability of seed varieties—and inform commercial variety advancement decisions.
AI Challenge participants were provided access to a real-world data set and tasked todesign a model to help scientists analyze extensive soybean seed data more efficiently and effectively, improving the plant breeding process and ultimately, the world’s ability to grow more crops with fewer resources. Due to the complexity inherent in agriculture, data driven models are increasingly being deployed in making seed breeding decisions.
Syngenta, an award-winning company for its innovation in plant breeding analytics, supported this competition, which was sponsored by the AI for Good Foundation and in partnership with IdeaConnection.
The premise of the competition underscores Syngenta’s commitment to make crops more efficient—an essential pillar of The Good Growth Plan, the company’s global initiative to improve the sustainability of agriculture.
For more details about the Syngenta AI Challenge, please visitwww.ideaconnection.com/Syngenta-AI-Challenge/.
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