文献类型： 会议论文

第一作者： Wenqian Huang

作者： Wenqian Huang ¹ ; Chi Zhang ¹ ; Xuzhang Xue ¹ ; Liping Chen ¹ ;

作者机构： 1.Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China,National Research Center of Intelligent Equipment for Agriculture, Beijing, 100097, China

关键词： weighing lysimeter;outlier detection;median filter;savitzky-golay filter

会议名称： IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture

主办单位：

页码： 471-478

摘要： The weighing lysimeters provide scientist the basic information for research related to the evapotranspiration, high quality of the collected data from lysimeters is of great significance. However there are many factors that can affect the measurement accuracy of the weighing lysimeter. In this paper, a data acquisition system was developed to collect the data from 24 weighing lysimeters. The calibration process of the load cell was described. An outlier detection method based on the 3-sigma rule and the median filter was proposed to improve the measurement accuracy of the weighing lysimeters. The performance of the proposed method was compared with the method based on Savitzky-Golay filter. Results show that the standard deviations of the 15-point median filter and the 15-point Savitzky-Golay filter applied to the 283 data points were 0.413Kg and 0.422Kg respectively, which means that the performance of the median filter was better than the Savitzky-Golay filter. Moreover the outliers were successfully eliminated using the median filter and were not removed by the Savitzky-Golay filter.

分类号： S1`TP3