Interpretability of deep learning models for crop yield forecasting
•Deep learning models learn plausible relationships between features and crop yield.•Neural networks learn features that perform similar to expert-designed features.•Feature influence on yield matches expert knowledge when model accuracy is high. Machine learning models for crop yield forecasting of...
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Veröffentlicht in: | Computers and electronics in agriculture 2023-03, Vol.206, p.107663, Article 107663 |
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