The primary objective of the challenge is to encourage participants to develop solutions using technology, particularly machine learning or deep learning models, to classify and map olive parcels using open Sentinel-2 multispectral time series data. The goal is to create a comprehensive mapping system that aids in better agricultural practices, adapting to climate variations, and ensuring food security in Tunisia's olive farming regions.

Please find the images for the challenge here.