高光谱成像技术在鱼肉品质检测中的应用研究进展OA

This paper elaborates on the technical principles and data processing methods of hyperspectral imaging(HSI),summarizes the latest domestic and international research progress of this technique in the rapid and non-destructive detection of fish meat quality,and sorts out its application achievements in five core aspects:fish species identification and adulteration verification,physical property detection,chemical index analysis,safety assessment,and frozen-thawed fish product detection.The HSI detection models still suffer from poor generalizability and are susceptible to interference from fish species,processing methods and detection environments;in addition,the data processing procedures are complex with low efficiency in redundant information elimination,and the cost of detection equipment remains high.These are the key problems restricting the practical application of HSI technology.Future research should focus on optimizing data processing algorithms,improving the generalizability and robustness of detection models,simplifying detection procedures and enhancing detection efficiency.Meanwhile,efforts should be made to reduce research,development and manufacturing costs,develop miniaturized detection equipment,and promote the in-depth integration of HSI technology with fish processing production lines,so as to realize the automatic and intelligent on-line detection of fish meat quality.