1 code implementation • 18 Dec 2023 • Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye
In this study, we explore the usefulness of combining a global cropland dataset and a hand-labeled dataset to train machine learning models for generating a new cropland map for Nigeria in 2020 at 10 m resolution.
1 code implementation • 10 Jul 2022 • Manuel Knott, Fernando Perez-Cruz, Thijs Defraeye
Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient.
1 code implementation • 28 Mar 2022 • Danya Li, Joaquin Gajardo, Michele Volpi, Thijs Defraeye
To this end, we developed an ML pipeline that relies on Sentinel-2 satellite images time series.