基于叶温的作物水分亏缺诊断方法研究

作物冠层或叶片温度的变化可以反映作物的水分状况[1]。为此,根据能量平衡原理分析了作物的冠层(叶片)—空气温差变化的影响因素,并采用模糊推理技术,以叶片—空气温差及相关的环境因素(空气水汽压差、光照强度、空气温湿度和风速等)为输入变量,以CWSI为输出变量,探讨基于植物叶片—空气温差的作物水分亏缺诊断的智能化方法,实现了作物水分亏缺指标的动态分析,有效地解决了环境因素对CWSI计算结果的影响。采用温室生长的黄瓜为对象进行试验,试验表明:该诊断方法可有效地反映作物水分亏缺程度,克服了传统诊断的局限性。

Research on Method of Detecting Crop Water Stress Index in Greenhouse Based on Leaf Temperature

The variation of canopy temperature or leaf temperature can reflect the water condition of crop. Based on energy balance, the paper discussed that leaf-air temperature difference is influenced by meteorological factors such as the solar radiation, wind speed, air temperature and moisture. A fuzzy logic method was developed for calculating CWSI and tested on cucumber in greenhouse. The experiment showed that the result of defoliations was correlated well with the value which calculated with empirical model, r2=0.5796; the fuzzy logic method can effectively reflected the degree of crop water stress.