Design Of Smart Agriculture Monitoring System Based On Embedded

Smart agriculture is the product of the combination of traditional agriculture and science and technology in the era of big data.It mainly uses emerging Internet of Things technology,artificial intelligence technology and computer technology to reform and innovate traditional agricultural production methods and management methods,and realize the informatization and intelligentization of agricultural production management..How to use science and technology to improve the efficiency of crop production and management has become a social problem that needs to be solved urgently.This paper builds a smart agricultural monitoring platform based on micro-embedded and wireless sensor networks.At the front end,we use wireless sensor network data collection methods to maximize the coverage and monitoring of crop growth environment information,in order to achieve real-time and accurate,Low-power monitoring,we choose ZigBee technology as the transmission protocol of the wireless sensor network,build a wireless sensor network through the CC2530 core module,the front-end node is a fixed node,equipped with sensors to monitor the temperature,humidity and PH value in the crop growth environment,The mobile quadruped node joins the network as an independent intelligent master control node.The Raspberry Pi 3B+ master control it carries has both automatic photographing and data processing functions.It monitors the growth and health of crops,and provides feedback on animal invasions and pests.Give full play to the powerful advantages of the Raspberry Pi as a micro embedded computer.The host computer monitoring interface is built through Python+Py Charm+Py Qt5,which improves the compatibility and portability of the host computer software.The host computer monitoring interface uses text,curves and images to intuitively present the growth status and growth of crops to users Environmental information greatly facilitates users' daily care and management of crops.Finally,perform relevant test experiments on each function of the system in the laboratory,and each part of the function can meet the design requirements,and the system is jointly adjusted in the outdoor simulated farmland environment.The system as a whole runs well and can complete the crop growth status and its growth environment.Intelligent monitoring of information.