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
Hauptverfasser: Paudel, Dilli, de Wit, Allard, Boogaard, Hendrik, Marcos, Diego, Osinga, Sjoukje, Athanasiadis, Ioannis N.
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Sprache:eng
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