The application discloses a kind of
coupling deep learning and physical mechanism's
leaf water use efficiency
estimation method, first, the
environmental data and
leaf water use efficiency of target area historical monitoring period are acquired;Then, construct the
carbon dioxide concentration prediction model inside leaf, the trained
carbon dioxide concentration prediction model inside leaf is used to predict
carbon dioxide concentration inside leaf, the predicted value of carbon dioxide concentration inside leaf is substituted into formula to calculate
leaf water use efficiency, the error between leaf
water use efficiency
estimation value and measured value is calculated, and the model is optimized by back propagation;Finally, the
environmental data of target area monitoring period are acquired, and are input into the trained carbon dioxide
concentration prediction model inside leaf, to obtain carbon dioxide concentration inside leaf;
Leaf water use efficiency is calculated by carbon dioxide concentration formula inside leaf, and the
estimation of leaf
water use efficiency is completed.The method improves the estimation accuracy of leaf
water use efficiency, and realizes continuous estimation.