The invention discloses an irrigation control method and system based on crop root zone soil moisture and root distribution. The method comprises the steps that parameters are set, soil water content in each soil layer of a root zone is monitored, root zone weighted average soil water content is computed according to relative root length density distribution, a crop water stress index (CWSI) is computed, when the CWSI computed value is larger than a preset CWSI critical value, irrigation is started; theoretical irrigation amount can also be computed according to planned moisture layer soil water content, and when practical irrigation amount reaches the theoretical irrigation amount, irrigation is stopped. According to the irrigation control method and system, the water stress degree of crops can be accurately and conveniently estimated, the fact that the root zone soil moisture distribution conditions and the crop moisture conditions are considered during irrigation is controlled according to the water stress degree, and an effective tool is provided for realizing of the purposes of water saving and production increasing.

Irrigation control method and system based on crop root zone soil moisture and root distribution

The invention provides an intelligent device and a method for irrigation rapid diagnosis. The irrigation rapid diagnosis method comprises: obtaining soil moisture data, obtaining weather data of the land on the day and in a forecast period, obtaining information of crops, and types of soil; according to the information of crops, the soil moisture data, the types of soil, and weather data, calculating irrigation lower limit rate of the crops and root zone average moisture content in each forecast day in the forecast period, analyzing and comparing the root zone average moisture content and the irrigation lower limit rate, to generate an irrigation suggestion; and showing the irrigation suggestion. Compared with an existing irrigation rapid diagnosis device, the provided diagnosis method is aimed at conditions of different crops in different regions, and gives comprehensive consideration to weather factors and actual water consumption characteristics, and provides relatively scientific and rational irrigation suggestion, so as to overcome defects of irrigating by manual experience to a certain extent.

Intelligent device and method for irrigation rapid diagnosis

The invention relates to a farmland irrigation method based on Internet of Things and belongs to the technical field of intelligent irrigation. The farmland irrigation method comprises the following steps: (1) setting data acquisition data in a farmland, acquiring the water content of soil and the temperature and the humidity of the air; (2) according to received information, calculating the evaporation speed of soil moisture by a server; (3) if the water content of the soil meets a preset drought threshold, calculating an expected irrigation amount by the server, and transmitting irrigation information to an electromagnetic controller and a flowmeter connected with an irrigation water tube; (4) turning on the electromagnetic controller, and irrigating the farmland through the irrigation tube; if the flowmeter displays that the irrigation amount meets a value transmitted to the flowmeter in the step (3), turning off the electromagnetic controller, and enabling the irrigation tube to stop irrigation. By adopting the farmland irrigation method, irrigation can be carried out according to practical situations of the farmland, the irrigation water utilization rate is increased to the maximum extent, and the water is greatly saved.

Farmland irrigation method based on Internet of Things

The invention provides an intelligent irrigation monitoring and control system. The system is composed of a functional module, a sensing module and a server and is a functional Internet-of-Things irrigation central control system which adopts a water flow control and early warning mechanism as a core; the sensing module is used for obtaining the real-time flow rates of electronic water meters at irrigation points, the ambient temperature and humidity of peripheral sensors, and other information; the functional module acquires the information of the sensing module, processes the information, sends the processed information to the server, and remotely turns on and turner off irrigation equipment; the server stores and processes the information sent by the functional module, displays the information on a WEB page in a grouped manner and/or pushes the information to an APP for realizing the graphical display of the information, and performs feedback control on the functional module. With the intelligent irrigation monitoring and control system of the invention adopted, an irrigation system can be monitored remotely and intelligently; prompt warns can be issued according to irrigation situations; and irrigation can be performed according to soil moisture content; and outdoor three-dimensional, green and accurate irrigation and scientific decision-making can be realized.

Intelligent irrigation monitoring and control system

The invention discloses an intelligent rotation irrigation control method, comprising the following steps of 1, electrifying a controller and detecting; 2, collecting data by a humidity sensor, and judging whether irrigation is needed according to the humidity; 3, opening a master solenoid valve and irrigating; 4, judging whether a set irrigation requirement is met; and 5, performing control on drainage. According to the method, the stability of a whole system is high, the applicability is strong, and during the irrigation process, the water resource utilization ratio is high, the manual intervention is not needed, and the intelligentization degree is high.

Intelligent rotation irrigation control method

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.

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

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