The deep learning approach combined with spectroscopic sensing techniques has shown great potential for quality evaluation of food and agro-products. Current advances in deep learning-based qualitative analysis include variety identification, geographical origin detection, adulteration recognition, and bruise detection, whereas quantitative analysis includes multiple component content prediction for fruits, grains, and crops. The main advantage of deep learning approach is the decreasing the dependence on human domain knowledge by end-to-end analysis and the improved precision and...

The colorimetric sensor technology simulates human olfaction to analyze, identify and examine complex gas and volatility based on chem-responsive dyes. Unlike human olfaction and electronic noses, colorimetric sensor technology is more objective and not susceptible to interference. In additional, with the visualization, rapidity and non-destruction of analysis, colorimetric sensor technology has been increasingly applied in food science and industry. This book focuses on the colorimetric sensor technology and its major applications in food industry. Technical considerations associated with...