most citedMultimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution

2 citations · 2 across the 2 of their papers we have counts for

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cs.CV2023

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data

Valentin Barriere, Martin Claverie, Maja Schneider +2

Accurate in-season crop type classification is crucial for the crop production estimation and monitoring of agricultural parcels. However, the complexity of the plant growth patter…

cs.CV2022★ 2 cited

Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution

Valentin Barriere, Martin Claverie

Accurate, detailed, and timely crop type mapping is a very valuable information for the institutions in order to create more accurate policies according to the needs of the citizen…