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.本数据集收录了不同含水率水平的带壳咖啡豆（parchment coffee）样本的原始未处理傅里叶变换近红外（Fourier transform near-infrared, FT-NIR）光谱，以及湿基含水率（wet basis）数值。本研究针对哥伦比亚乌伊拉省的带壳咖啡豆干燥全过程，对其FT-NIR光谱与含水率开展了全面监测。该数据集可用于构建预测模型，以估算干燥过程任意阶段的咖啡豆含水率，该过程初始含水率为50%，最终可降至约10%。本数据集可辅助开发依托近红外光谱传感器追踪咖啡豆含水率的自动化干燥设备。研究结果已整理为Excel电子表格，并按实验条件与实验重复组别进行了区分。