Determination of Fiber Component Content in the Residual Branches of Fruit Trees in South Xinjiang Based on Near Infrared Spectroscopy

【Objective】 The detection of fiber components in fruit tree stumps generally has the problems of time-consuming, complicated operation and high test cost. The research uses near-infrared spectroscopy technology combined with chemometrics to quickly detect the content of cellulose, hemicellulose and lignin in the stumps of fruit trees in southern Xinjiang. 【Method】 Taking 150 samples of fruit tree stumps collected from various parts of southern Xinjiang as the research object, using near-infrared spectroscopy technology combined with partial least squares（PLS）, Using different pre-processing and characteristic waveband screening methods to optimize the prediction model of the content of each fiber component. 【Result】 The three fiber component near-infrared detection models established by the SG convolution smoothing method preprocessing combined with the competitive adaptive weight sampling method（CARS） optimized feature band have the best effect, and the correlation coefficients r are 0.950,3, 0.948,7 and 0.937,1, respectively. The coefficients of determination R² are 0.900,8, 0.896,5, and 0.875,1, the corrected standard deviations RMSEC were 0.007,0, 0.005,4, and 0.005,1, and the predicted standard deviations RMSEP were 0.011,8, 0.008,9, and 0.008,8, respectively. 【Conclusion】 The use of near-infrared spectroscopy technology can achieve rapid quantitative detection of the three components of cellulose, hemicellulose and lignin in fruit tree stumps in South Xinjiang.