133 citations · 159 across the 5 of their papers we have counts for
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cs.CE2023★ 19 cited
Earth Observation based multi-scale analysis of crop diversity in the European Union: first insights for agro-environmental policies
Melissande Machefer, Matteo Zampieri, Marijn van der Velde +3
To understand the resilience of farms and the agricultural sector, as well as the provision of ecosystem services, we need to characterize and quantify crop diversity. Using a 10m…
cs.CV2023
Crop identification using deep learning on LUCAS crop cover photos
Momchil Yordanov, Raphael d'Andrimont, Laura Martinez-Sanchez +3
Crop classification via deep learning on ground imagery can deliver timely and accurate crop-specific information to various stakeholders. Dedicated ground-based image acquisition…