The invention provides a soil
moisture prediction method and
system under limited supplementary
irrigation of a dry farmland, and relates to the technical field of soil
moisture prediction.The method comprises the steps that soil is divided into multiple
layers according to the depth, all the
layers correspond to different
water retention and water
absorption capacity coefficients, and the multi-moment
water content and influence parameters of all the
layers are collected; constructing a
time sequence data set and training a long and short-
term memory network model; calculating the
water deficit degree in combination with the appropriate
water content of the oat in the current growth stage, weighting the
water retention and water
absorption capacity coefficients after trend correction to obtain a supplementary
irrigation demand index, and determining the highest priority layer; and predicting the
water content of the layer at the next moment by using the model, and correcting the predicted value of the water content by taking the minimum value in combination with the field
moisture capacity calculation theory and the maximum allowable supplementary
irrigation amount. According to the method, the supplementing irrigation priority is scientifically judged, on-demand supplementing and limited supplementing irrigation are achieved, and the problems that in the prior art, the actual soil layer moisture is difficult to evaluate,
resource distribution is difficult to optimize, and supplementing irrigation constraint logic is lacked are solved.