Utility of Deep Learning Algorithms in Initial Flowering Period Prediction Models
The application of a deep learning algorithm (DL) can more accurately predict the initial flowering period of Platycladus orientalis (L.) Franco. In this research, we applied DL to establish a nationwide long-term prediction model of the initial flowering period of R2) were used as training effect indicators to evaluate the prediction accuracy. The