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Found 2 papers, 1 papers with code
Integrating processed-based models and machine learning for crop yield prediction
When tested on real-world data from field trials (n=303) and commercial fields (n=77), the meta-modeling approach yields competitive results with respect to the crop growth model.
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
We propose the Neural Prototype Tree (ProtoTree), an intrinsically interpretable deep learning method for fine-grained image recognition.
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