Deepak Pathak
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  • Publications
    • YieldSAT: A multimodal benchmark dataset for high-resolution crop yield prediction
    • Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction
    • Intrinsic explainability of multimodal learning for crop yield simulation
    • Multi-modal fusion methods with local neighborhood information for crop yield prediction at field and subfield levels
    • Influence of data cleaning techniques on sub-field yield predictions
    • Predicting crop yield with machine learning: An extensive analysis of input modalities and models on a field and sub-field level

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

1 January 2026·
M. Miranda
,
D. Pathak
,
P. Helber
,
B. Bischke
,
H. Najjar
,
F. Mena
,
C. Sanchez
,
A. Pai
,
D. Arenas
,
M. Valdenegro Toro
,
M. Charfuelan
,
M. Nuske
,
A. Dengel
Project DOI
publications
Benchmark Crop Yield Prediction Multimodal Learning Remote Sensing Dataset
Authors
D. Pathak
Adaptive fusion of multi-modal remote sensing data for optimal sub-field crop yield prediction 1 January 2025 →

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