Decision-making method for soil moisture monitoring and intelligent irrigation of root zone of crop

Abstract

The invention provides a decision-making method for soil moisture monitoring and intelligent irrigation of the root zone of crop. The method comprises three steps of (1) acquiring soil moisture data by using soil moisture sensors based on the theory of time domain reflection or frequency domain reflection; (2) establishing a soil moisture mathematical model by adopting the numerical simulation method based on a dynamic data driving application system to correct the soil moisture value; and (3) comparing the soil moisture value, obtained by a hydrodynamic model, of the root zone of crop with the set irrigation threshold value of crop, and making the irrigation data decision. According to the method, simulated forecast on soil moisture is made by taking the dynamic data driving application system as a technological paradigm, various updated actually measured meteorological data as basis, and actually measured initial soil moisture and real-time surface soil moisture state, growing state of crop and the like as base; therefore, the dynamic property and the real-time property of the soil moisture forecast are improved, which has great significance for making a water plan.

Description

technical field [0001] The invention relates to a soil moisture monitoring method, in particular to a crop root zone soil moisture monitoring and intelligent irrigation decision-making method. Background technique [0002] The basis of water-saving irrigation is the diagnosis of crop water shortage. When crops suffer from drought, they will respond in many ways. There are many indicators that can reflect crop water shortage. The traditional and commonly used indicators are soil moisture indicators, so the measurement of soil moisture is particularly important. The measurement method of soil moisture has a long history of development, and has gone through the process from soil sampling and drying measurement to real-time automatic collection by sensors. At present, the rapid measurement technology of soil moisture is relatively mature, which can realize real-time automatic monitoring and data collection, but there is still no convenient and quick method for continuous and rea...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems that the real-time acquisition of deep soil water content cannot be realized, the real-time and dynamic simulation of soil moisture cannot be realized, and the "static" simulation results cannot be used in intelligent irrigation systems and irrigation decision-making, the present invention proposes a crop root zone The technical solution adopted for soil moisture monitoring and intelligent irrigation decision-making method is:

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