The invention relates to the technical field of agricultural water management, in particular to an intelligent summer corn
transpiration measuring and calculating method and
system based on
silicon accumulation data, and the method comprises the steps: collecting
canopy spectrum and
environmental data, inverting layered
silicon accumulation, screening steady-state parameters, constructing
silicon gradient mapping, and predicting
transpiration and future
water consumption. According to the method, silicon element distribution characteristics in the vertical direction of a
canopy are analyzed by constructing physical layered mapping logic, double calibration is performed on a
remote sensing inversion result in combination with laboratory chemical
analysis data, a physiological stability interval is delimited by using a statistical method, abnormal
environmental noise is eliminated, and a variable step size iteration solving
mechanism based on a cumulative gradient is constructed. The calculation precision is adaptively adjusted according to the
metabolic activity degree, fine analysis of the
moisture transmission process in different physiological states is realized, accumulative errors caused by environmental fluctuation and
spatial heterogeneity are eliminated, and it is ensured that the prediction result of the
moisture consumption rate of the whole summer corn
plant can truly reflect the actual
water consumption demand of crops.