Wheat is one of Chinas main food crops, which significantly impacts the development of the national economy. However, high temperature and UV stress led to a significant decline in its yield.When stresses occur, the polysaccharides in the cell wall will change to different degrees. As an important component of such polysaccharides, pectin plays a major role in determining intercellular porosity, identifying pathogens, and maintaining structural integrity. At present, common pectin detection methods include a gravimetric method, titration method, acid extraction method, etc. Most of these methods are damaging detection, whose determination steps are cumbersome, and the samples loss is large. In recent years, spectral detection technology has been widely used in the field of plant physiological information detection due to its advantages of simplicity, rapidity, high resolution, and strong real-time performance. Therefore, in this study, the hyperspectral and chlorophyll fluorescence spectrum detection technology were used to determine pectins content. Taking Ningmai 13 as the research object, the hydroponics method was adopted. The high temperature and UV stress environment was simulated during wheat growth by adjusting the temperature of the artificial climate incubator and the irradiation intensity of the UV lamp. At the tillering stage of wheat, hyperspectral data and chlorophyll fluorescence spectrum data of leaves were collected, and the pectin content in leaves was determined. The two original spectral data were smoothed and denoised by wavelet analysis. The coincidence band with the highest correlation coefficient between the two spectral data and pectin content was (620, 651) by correlation coefficient analysis. The training set and the validation set were divided in a ratio of 3∶1.The hyperspectral inversion pectin model, the fluorescence spectrum inversion pectin model and the double spectrum inversion pectin model were established by the PLS least squares method. The research results show that the inversion effect of pectin content in wheat leaves by double spectrum is good. The models correlation coefficients of the training set and verification set are 0.994 9 and 0.944 5. The conclusions of this study are helpful in explore the response of polysaccharides in the cell wall of wheat under adversity stress. They also can provide references and help for predicting the degree of stress environment of field crops and controlling the planting environment accurately.