Multimodal Learning

YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction

Introduces YieldSAT, a large-scale multimodal benchmark for high-resolution crop yield prediction combining satellite imagery, weather, soil, and harvester data — enabling …

m.-miranda

• 1 January 2026 • 1 min read

Explainability

Intrinsic explainability of multimodal learning for crop yield simulation

Studies how multimodal crop-yield models can be made more interpretable, examining modality contributions and model behavior rather than treating multimodal fusion as a black box.

h.-najjar

• 1 January 2025 • 1 min read

Remote Sensing

Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction

Focuses on accurate sub-field yield prediction by combining multiple remote sensing and auxiliary modalities, highlighting the value of adaptive multimodal fusion for improving …

f.-mena

• 1 January 2025 • 1 min read

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Multimodal Learning

YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction

Intrinsic explainability of multimodal learning for crop yield simulation

Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction