Water shortage information diagnosis and water demand dynamic estimation method for crops in irrigated area

The invention discloses an irrigation area crop water shortage information diagnosis and water demand dynamic estimation method, which comprises the following steps of: training a machine learning model by taking irrigation area crop growth environment meteorological characteristic information, crop type and planting position information and crop growth period information as input so as to carry out water shortage information diagnosis and water demand dynamic estimation on different crop communities. According to the method, the irrigation amount can be flexibly judged according to the meteorological characteristic information of the growth environment of the crops in the irrigation area, the types of the crops and the water demand rules of the crops in different growth periods, accurate prediction of the water demand of the crops in the irrigation area is achieved, water resource utilization is optimized, the optimal water use effect of the crops is ensured, and energy is saved. 本发明公开了一种灌区作物缺水信息诊断及需水动态估算方法，