Research on the Outlier's Distinguishing and Rejecting among Sampled-Data of Plants' Microenvironment Information

Water shortage for agriculture gets more and more severity which makes it necessary to develop water saving agriculture and achieving the leaf water potential accurately is the key. To ensure the accuracy of the plants' microenvironment information is the most important. Achieving the ideal microenvironment data under closed environment first, and then mixed with various types of outliers manually. To apply 3-delta laws to the mixed-data which has its shortage and so MMD algorithm is presented. Finally, some conclusions were given according to the simulation result in matlab which showed their characteristics and limitations respectively. It is very helpful and significant to process data collected from open land later.