Research on Data Quality Control Method of Eucalyptus Plantation Sensor Network

Abstract The Internet of Things technology can provide data support for precise management measures and reflect the effect of management activities in time through long-term monitoring of plantation forest stands and environmental factors. However, the networking and deployment of the Internet of Things based on sensor network in the plantation forest has just started, and the stability of the sensor network itself is not very reliable, so the data quality will be greatly affected. In this paper, based on the experimental data and the experience of continuous data post-processing such as meteorology, the data quality of eucalyptus plantation forest sensor network is preliminarily analyzed. Then, on this basis, some algorithms of data interpolation and data integration are given according to different observation indexes, which lays a foundation for the further application of sensor network data of plantation forest in the future.