高光谱成像
计算机科学
质量(理念)
食品质量
电子鼻
工艺工程
追踪
环境科学
工程类
人工智能
食品科学
认识论
操作系统
哲学
化学
作者
Dianyuan Wang,Min Zhang,Qiyong Jiang,Arun S. Mujumdar
出处
期刊:Foods
[Multidisciplinary Digital Publishing Institute]
日期:2024-05-25
卷期号:13 (11): 1662-1662
被引量:10
标识
DOI:10.3390/foods13111662
摘要
The quality of fresh foods tends to deteriorate rapidly during harvesting, storage, and transportation. Intelligent detection equipment is designed to monitor and ensure product quality in the supply chain, measure appropriate food quality parameters in real time, and thus minimize quality degradation and potential financial losses. Through various available tracking devices, consumers can obtain actionable information about fresh food products. This paper reviews the recent progress in intelligent detection equipment for sensing the quality deterioration of fresh foods, including computer vision equipment, electronic nose, smart colorimetric films, hyperspectral imaging (HSI), near-infrared spectroscopy (NIR), nuclear magnetic resonance (NMR), ultrasonic non-destructive testing, and intelligent tracing equipment. These devices offer the advantages of high speed, non-destructive operation, precision, and high sensitivity.
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