Ensemble of U-Net (temporal channels stacked) and fine-tuned Prithvi-EO-2.0 reaches 68.32 ±1 accuracy on viticulture potential, ranking 2nd of 7 in ImageCLEF AI4Agri 2026.
Title resolution pending
1 Pith paper cite this work, alongside 61 external citations. Polarity classification is still indexing.
1
Pith paper citing it
61
external citations · OpenAlex
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Predicting Viticulture Potential through an Ensemble of U-Net and a Geospatial Foundation Model
Ensemble of U-Net (temporal channels stacked) and fine-tuned Prithvi-EO-2.0 reaches 68.32 ±1 accuracy on viticulture potential, ranking 2nd of 7 in ImageCLEF AI4Agri 2026.