Design Of Intelligent Agriculture Networked Precision Irrigation System

The current smart agricultural irrigation system cannot make full use of natural precipitation,which has largely caused waste of water resources.Moreover,with the continuous development of modern agriculture,smart agriculture and precision agriculture,the paddy field area is constantly expanding,and the demand for networked intelligent irrigation systems is increasing.The underlying equipment of the existing irrigation system mostly adopts the way of wired information transmission,which requires a large number of cables,poor flexibility,poor connectivity of the communication network,high energy consumption,insufficient intelligence of the decision-making terminal of the irrigation system,while increasing the energy consumption of the equipment,affecting the life of the equipment,and bringing great difficulties to the deployment and maintenance of the equipment.In this regard,this paper designs a smart agricultural networked precision irrigation system by using sensor technology,embedded system technology,wireless networking technology and artificial intelligence theory,and comprehensively using natural precipitation and precision irrigation strategies.The specific content is as follows:（1）The networked paddy field crop precision irrigation suite based on smart agricultural technology is designed,which mainly includes data acquisition node,intelligent network node,precision irrigation action equipment node and precision irrigation control terminal,and the precision irrigation system can be flexibly deployed in paddy field area based on wireless communication.（2）A fully connected model of communication network,an energy consumption evaluation model of communication network and an optimal deployment model of communication network nodes of precision irrigation system are established.In order to improve the communication efficiency of irrigation network and reduce the communication energy consumption,the optimal deployment model of irrigation network communication node is solved by using Voronoi Moth Flame Optimization（VI-MFO）based on Vinotto.（3）A crop water consumption prediction model,precipitation prediction model and crop optimal irrigation decision-making model of precision irrigation system are established.In order to improve the accuracy of irrigation and save water resources,meteorological parameters are introduced and adaptive fuzzy control methods are used to make irrigation decisions.（4）A precision irrigation decision-making system is constructed,which takes the paddy field status information and network meteorological parameters as the system input,and after the system decision-making,adaptively controls the paddy field irrigation equipment for precise irrigation.Taking the rice fields in Jiangsu Region of China as an example,the system simulation test and physical test were carried out respectively.Simulation experimental results show that the proposed intelligent irrigation system is26.67% less than the non-intelligent irrigation system equipment start-up,irrigation water savings of 40.82%,drainage reduced by 33.89%,to ensure that the growth water level of crops is kept in the best state,improve the service life of the equipment,reduce the number of ineffective irrigation,and avoid the waste of water resources;the physical test results show that the software and hardware parts of the system work normally,the equipment operation delay,the decision-making system decision-making time,Parameters such as system deviation and communication distance meet the requirements of the design indicators.