Part A computer vision challenge

On July 13th, teams will access the last dataset and submit your results from 14:00-14:10 CEST. Results of all teams will be shared in the final event on July 14th, 2021.


Each team has only one correct submission.

Scoring

The public score is calculated by the summation of the normalised mean squared error (NMSE) for each plant trait. This normalisation is needed to calculate a total error from all plant traits. In formula:

with m the number of plants traits {FreshweightShoot, DryweightShoot, Height, Diameter, LeafArea} and n the number of predictions.


Test dataset

Images for current week submission Final_50_Images.zip

Submission File

Submissions should be json files.example.json

Part B machine learning challenge

On July 13th 14:00 CEST,simulator D will be provided to the teams with limited access.Teams must submit the optimised control parameters in this new simulator version from 14:00-15:00 CEST.Results of all teams will be shared in the final event on July 14th, 2021.

Scoring

The public score is calculated by the simulator ,which gives the net profit values:


Net Profit = Gains – Fixed costs – Variable costs