Fourier Transform Near Infrared (FT-NIR) spectral monitoring of parchment coffee beans during drying

The data set comprises primary, unprocessed Fourier transform near-infrared (FT-NIR) spectra and moisture values on a wet basis from parchment coffee samples at varying moisture content levels. A comprehensive monitoring of both FT-NIR spectra and moisture levels throughout the drying process of parchment coffee from the Huila department in Colombia was conducted. The data enable the construction of predictive models for estimating coffee moisture at any stage of the drying process, beginning with an initial moisture content of 50% and reducing to approximately 10%. The data may be useful for the construction of automated drying equipment that tracks bean moisture using sensors that measure near-infrared spectra. The results were organized in Excel spreadsheets, differentiated according to the experimental conditions and the repetitions carried out.

该数据集包含原始、未经处理的傅里叶变换近红外（FT-NIR）光谱和基于湿基的 parchment 咖啡样本的含水量数据。对来自哥伦比亚胡伊拉部门的 parchment 咖啡在干燥过程中的 FT-NIR 光谱和含水量进行了全面的监测。这些数据允许构建预测模型，以估计干燥过程中任何阶段的咖啡含水量，初始含水量为 50%，降至约 10%。该数据对于构建利用测量近红外光谱的传感器跟踪豆子含水量的自动化干燥设备可能具有实用性。结果被整理在 Excel 工作表中，根据实验条件和重复次数进行了区分。