Research On The Application Of Agricultural Perceptual Data Fusion Based On Internet Of Things

As moving into the 21 st century, China, a vast agricultural country, is facing an important transformation period to modernizing agriculture. With the urgent need for networked physical world, networking technology has evolved and matured, and the application of networking technology in agricultural also develops in depth. Through the use of a variety of sensors to collect farmland planting, landscape gardening, aquaculture and other site information, Internet of Things of agriculture had a tremendous impact on agricultural production and management. However, due to the sensor information collected from various fields, thus, the varied transport protocol. Therefore, multisensor data fusion is vital.The main features of the Internet of Things is widely distributed nodes, large volume of data, therefore, in my paper, the focus is the fusion algorithm for data networking applications in agriculture. In this paper, traditional data fusion method will be improved to make the data fusion algorithm meet Things node energy and real-time requirements for data,. Combined with the applied environment, proposed embedded node hardware design, Firstly, based on the distinctiveness of agriculture, I introduced the networking hardware design plan, then elaborated selection and peripheral circuit design chips, described the application of sensor types and applications in agriculture environment, After elaborated Zigbee wireless communication module design node. Based on the hardware design,given low level embedded software design solutions, including software and PC Monitoring Software, On the basis of human-computer interaction, complete the storage environment parameters, And the data information can be detected by server and also can be transmitted to the Internet, Achieving the true meaning of the "sensor- Internet- Remote Monitoring" modernizing agriculture Things mode.Confirmed by experiment, the data fusion application system has adaptability and stability in the agricultural environment monitoring system. In this paper, data fusion algorithms of things to explore has important implications for the development of the agricultural system of things.