Foundation model embeddings provide no advantage over traditional spectral features for cross-country maize yield generalization in Africa, with all methods yielding negative R² under leave-one-country-out testing due to distribution shifts.
Deep Gaussian process for crop yield prediction based on remote sensing data
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Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa
Foundation model embeddings provide no advantage over traditional spectral features for cross-country maize yield generalization in Africa, with all methods yielding negative R² under leave-one-country-out testing due to distribution shifts.