A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China

•Attention mechanism with LSTM (ALSTM) has been applied to improve wheat yield estimation.•ALSTM model produced more accurate crop yield estimates compared with LSTM model.•Attention mechanism facilitatesd interpretability of the LSTM network’s inner working.•ALSTM model provided stable performance at different sampling sites and years.