Intelligent Agricultural Monitoring System Based On Internet Of Things

Agriculture is the foundation of a country’s development and plays a vital role in China’s economic and social development.The use of intelligent agricultural monitoring system based on Internet of things technology for fine planting of crops can effectively improve the quality and yield of crops.However,the existing agricultural monitoring system has some problems,such as complex networking,high cost,difficult layout and so on.According to the requirements of agricultural monitoring application,this paper designs an intelligent agricultural monitoring system which is easy to deploy,has a wide communication range,can remotely view the details of crop growth,and can adjust the crop planting environment.The main work of this paper can be summarized as follows:(1)According to the application characteristics of agricultural monitoring network,a wireless sensor network based on Lo Ra is designed.The communication level of 0-7can be selected according to the communication characteristics of nodes.The communication level can divide the communication bandwidth and spread spectrum factor in Lo Ra spread spectrum modulation step by step to meet the communication requirements of different types of nodes.In the actual urban environment test,the maximum communication distance can reach 948 m and the maximum communication rate is 4kbps.The network provides three communication protocols: ALOHA,slotted ALOHA and CSMA/CAD.Users can choose different communication protocols according to the type and number of nodes to maximize the communication efficiency of the network.(2)The design of sink node,air temperature and humidity light sensor node,soil sensor node,control node and dynamic sensing node in agricultural monitoring system is completed.The sink node adopts 8 Lo Ra modules for communication in hardware and Free RTOS real-time operating system in software,which greatly improves the number of network nodes and networking performance.The sensor node is designed with low power consumption.In the actual test,it can work continuously for 60 days under the power supply of 3.7V 2600 m AH battery.In the realization of dynamic sensing nodes,two navigation methods suitable for agricultural inspection are provided,which can be used to capture crop growth images at close range to achieve refined management.(3)Based on the Alibaba Cloud Io T platform,the remote upload of the collected data and the remote operation of the control node are realized.The dynamic sensing node uses Alibaba ECS cloud server and Jetson Nano hardware platform to realize remote forwarding of collected images.Users can monitor and manage crops anytime and anywhere using the client device.(4)In order to verify the practicability and stability of the system,the intelligent agricultural monitoring system designed in this paper is deployed to a mulberry plantation for field testing,and the test effect and deployment method of the system are summarized in the article.