In the face of the challenge of global water shortage,accurate estimation of crop water demand has become a key link in the field of agricultural water-saving irrigation.Neural network technology,represented by back propagation neural network and short-term memory network,has unique advantages in reference crop evaporation estimation.Aiming at the specific technical application in the field of agricultural water conservancy,a series of measures are put forward,including feature engineering,model optimization,decision-making system integration and technology popularization.These measures aim to promote the practical value of neural network technology in agricultural irrigation and climate policy support,and provide new perspectives and tools for improving the accuracy and efficiency of crop water demand estimation.and then promote the efficient use of water resources and the sustainable development of agriculture.
reference crop water requirementneural networkestimationagricultural water conservancyapplication research
国家科技期刊平台
NSTL
万方数据
