针对作物叶水势的连续测量问题,提出一种软测量建模新方法。该方法结合土壤一植物一大气连续体理论,选取8个易于获取的作物微环境信息作为辅助变量,利用自适应神经模糊推理系统(ANFIS)实现对作物叶水势的软测量建模。通过对实验数据的Matlab仿真表明,该模型方法简单有效,具有较高的软估计精度。
Aiming at the problem of continuous measurement for leaf water potential, a new soft-sensing mod- eling method is proposed. By combining the theory of SPAC, the new mehod choosed eight accessible microenvironment information as the correlation instrumental variables, then an 8 input-loutput ANFIS model for leaf water potential is established. Simulation results have verified the efficiency of the method and high estimating precision.