Sen4AgriNet is a Sentinel-2 based time series multi country benchmark dataset, tailored for
agricultural monitoring applications with Machine and Deep Learning. It is annotated from
farmer declarations collected via the Land Parcel Identification System (LPIS) for harmonizing
country wide labels. These declarations have only recently been made available as open data,
allowing for the first time the labelling of satellite imagery from ground truth data.
We proceed to propose and standardise a new crop type taxonomy across Europe that address
Common Agriculture Policy (CAP) needs, based on the Food and Agriculture Organization (FAO)
Indicative Crop Classification scheme. Sen4AgriNet is the only multi-country, multi-year dataset
that includes all spectral information. It is constructed to cover the period 2016-2020 for
Catalonia and France, while it can be extended to include additional countries.
