Gathering researchers in recommender systems, sequential and reinforcement learning on the one hand, and in sustainable agriculture, ecology and biodiversity preservation on the other hand, for an ambitious mixed project.
Participative science platform, with recommendations.
We want to collect sequential observations and actions in everyone's garden, that will enable users to receive constantly improving recommendations involving state of the art algorithms, and researchers to organize recommendation challenges and improve their understanding of sustainable agricultural practice at large.
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