Intelligent irrigation fertilizing decision-making control system

Abstract

The invention relates to an intelligent irrigation fertilization decision-making control system, comprising an input unit, an output unit, a data acquisition unit and an irrigation control unit, wherein, a decision-making analysis unit arranged in a decision control database receives the data from the input unit and exchanges data with a privilege unit after processing the received data, and thenexchanges data with a fuzzy reasoning unit which also receives output data of a data management unit; after performing logical judgment and processing according to the received data, the fuzzy reasoning unit outputs the data to a control management unit; a sensor of the data acquisition unit acquires and transfers the soil humidity data to the data management unit; a controller of the irrigation control unit receives the data from the control management unit, and transfers the data to a switching quantity output module after processing, and the switching quantity output module transfers the data to a solenoid valve. The intelligent irrigation fertilization decision-making control system has the advantages that: crop physiological water demand indicators are introduced into the computer automatic control field, the irrigation fertilization decision-making is carried out through an irrigation indicator database and the fuzzy classification technology.

Description

technical field [0001] The invention relates to an agricultural irrigation or agricultural fertilization decision-making control system, in particular to a system using computer technology for decision-making control. Background technique [0002] The increasing shortage of water resources has posed a serious threat to my country's social and economic development, and has even become a "bottleneck" of national economic development. But on the other hand, agricultural irrigation water is seriously wasted, and the utilization rate of irrigation water is generally low. In my country, the irrigation water utilization coefficient in the artesian irrigation area is only 0.4-0.5, and the irrigation water utilization coefficient in the well irrigation area is 0.5-0.6, which is 0.2-0.4 lower than that in developed countries. For facility agriculture, most of them use relatively extensive irrigation methods, and the water utilization rate is only 60%. With artificial pipe irrigation,...

AI Technical Summary

Problems solved by technology

Existing irrigation and fertigation systems either use artificial experience and semi-intelligent methods. This system requires staff to set irrigation time and irrigation volume during different crop growth periods. The accuracy of irrigation depends on people's knowledge and attitude; or based on meteorological parameters (solar radiation, temperature, humidity, wind speed, etc.) to calculate the reference crop water demand and then multiply it by the crop coefficient to guide irrigation. In this way, the irrigation system not only needs a large number of meteorological sensors, but the system cost is high. At the same time, it is difficult to accurately determine the different soil crop systems in different regions It is difficult to apply the theory of modern crop physiological water demand to the system, but it is difficult to meet the requirements of fine irrigation and fertilization, low cost and high profit

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