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Chemometric and image analysis of Croatian wheat cultivars and their bread making quality

机译:克罗地亚小麦品种的化学计量和图像分析及其面包制作质量

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Fourteen physical and chemical properties of flours obtained from eleven Croatian wheat cultivars, eleven physical dough properties, seven standard bread quality tests, and a computer image analysis of bread porosity are investigated by chemometric analysis. Determination of bread making quality of wheat is difficult due to complexity of sensory evaluation. This problem motivates investigation of computer image analysis of bread quality. Images of medium loaf surface are digitised and processed using original computer program for medium part porosity determination. Due to high correlation between chemical, physical and quality data, chemometric analysis is applied to determine minimal number of latent variables for determination of clusters of samples and properties (variables) in two dimensional score planes. Robust partial least squares models for prediction of bread quality based on only four latent variables are developed.
机译:通过化学计量分析研究了从11个克罗地亚小麦品种获得的面粉的14个物理和化学特性,11个物理面团特性,7个标准面包质量测试以及面包孔隙度的计算机图像分析。由于感官评估的复杂性,很难确定小麦的面包制作质量。这个问题促使人们对面包质量的计算机图像分析进行研究。使用原始计算机程序将中型面包表面的图像数字化并进行处理,以测定中型零件的孔隙率。由于化学,物理和质量数据之间的高度相关性,因此使用化学计量分析来确定潜在变量的最小数量,以便确定样品簇和二维评分平面中的属性(变量)。仅基于四个潜在变量,开发了用于面包质量预测的鲁棒偏最小二乘模型。

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