The prediction of dry matter content (DMC) and soluble solids content (SSC) in durian pulp were performed using a small laboratory scale in-line visible and short wave near infrared (Vis-SWNIR) spectroscopic system. The fiber optic diode array spectrometer with a charged coupled device (CCD) detector in a wavelength range of 450−1000 nm was used for spectral data acquisition. The spectra of the sample were acquired on the moving conveyor belt in two different orientations, including scanning in the upright position of pulps collected in 2018 and the stable position by scanning on the side of the pulps collected in 2019. Partial least squares regression (PLSR) was used to establish the relationship between the spectra and observed DMC and SSC values using the different wavelength ranges, including 450−1000, 700−1000, and 800−1000 nm for the comparison. The results showed that the durian pulp should be scanned in the upright position at the center of the pulp. Moving average smoothing preprocessing combined with the standard normal variate (SNV) for DMC and multiple scatter correction (MSC) for SSC gave the best result. The suitable wavelength range for model development to predict the DMC and SSC was 700−1000 nm and 800−1000 nm, respectively. After comparing the results, the optimum model showed the coefficient of determination of calibration (R_C²), and prediction (R_P²), root mean square error of prediction (RMSEP), bias, and the ratio of performance to interquartile distance (RPIQ) of 0.88, 0.83, 4.32 %, 1.25 %, and 3.52 for DMC and 0.70, 0.70, 4.0 %, 0.4 %, and 2.2 for SSC prediction.

榴莲果肉中干物质含量 (DMC) 和可溶性固形物含量 (SSC) 的预测是使用小型实验室规模的在线可见光和短波近红外 (Vis-SWNIR) 光谱系统进行的。使用带电荷耦合器件 (CCD) 检测器的光纤二极管阵列光谱仪在 450-1000 nm 的波长范围内进行光谱数据采集。样品的光谱在两个不同方向的移动传送带上获取，包括在 2018 年采集的纸浆垂直位置扫描和在 2019 年采集的纸浆侧面扫描稳定位置。 偏最小二乘回归（PLSR） ) 用于建立光谱与观察到的 DMC 和 SSC 值之间的关系，使用不同的波长范围，包括 450-1000、700-1000、和 800−1000 nm 进行比较。结果表明，榴莲果肉应该在果肉中心的直立位置进行扫描。移动平均平滑预处理结合 DMC 的标准正态变量 (SNV) 和 SSC 的多重散射校正 (MSC) 给出了最好的结果。用于模型开发以预测 DMC 和 SSC 的合适波长范围分别为 700-1000 nm 和 800-1000 nm。比较结果后，优化模型显示校准确定系数（R 用于模型开发以预测 DMC 和 SSC 的合适波长范围分别为 700-1000 nm 和 800-1000 nm。比较结果后，优化模型显示校准确定系数（R 用于模型开发以预测 DMC 和 SSC 的合适波长范围分别为 700-1000 nm 和 800-1000 nm。比较结果后，优化模型显示校准确定系数（R_Ç ²），和预测（R _P ²），预测（RMSEP），偏置和的性能达到0.88，0.83，4.32％，1.25％四分位数间距距离（RPIQ）的比率的根均方误差，并3.52对DMC SSC 预测为 0.70、0.70、4.0%、0.4% 和 2.2。