Data Challenge #2 asks competitors to build AI pipelines using freely available imagery and datasets to automatically detect and map underperforming zones across Central Valley orchards.

Come evaluate the results of a 4-week code sprint addressing satellite-based orchard stress mapping in the Central Valley.

An extended evaluation period ensures each project receives careful and thorough review.

This competition invites university teams from various disciplines to develop innovative data analytics models to predict frost events.