An attention-aware LSTM model for soil moisture and soil temperature prediction

Geoderma(2022)

Cited 40|Views24
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Abstract
•A novel attention-aware LSTM model (ILSTM_Soil) is developed for soil prediction.•The temporal and predictor’s importances are widely investigated.•The interpretation of attention weights coincides well with physical knowledge.•ILSTM_Soil model outperforms other existing predictive models in most cases.•Attention mechanism is advocated for better performance and interoperability.
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Key words
Soil moisture,Soil temperature,Deep learning,Attention mechanism,Interpretability
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