Changing to an LSTM model using all features, improved prediction accuracy with a MAE of 1.2%; this is compared to a best of 3.6% for the non-neural-network models. These results can be contextualised by comparison to the yield range in addition to the earlier described baseline. The observed yield was between 7.5 and 38.1%, giving a range of 30.6%. Therefore, a predictive accuracy with a MAE of 1.2% was considered useful in this context.