Abstract:

Using traditional detection technology to meet the requirements of rapid，non-destructive，and effective seed quality detection is challenging. As science and technology advance，spectral imaging technology in conjunction with chemometric methods is now able to get both the spectral and image information of the analyte，offering the benefits of speed，non-destructiveness，and high efficiency. The method is currently applied to all aspects of seed quality detection technology. This paper introduced the theory of spectral imaging technology，summarized the status of maize seeds，the method of spectral data preprocessing，the method of extracting the characteristic wavelength of spectral data，the modeling analysis method and the model evaluation index in the detection process of spectral imaging technology. It also reviewed the research progress of spectral imaging technology in detecting maize seed vitality，moisture，disease，quality and origin. In the end，considering the problems of low data processing efficiency and low model accuracy in the quality detection of maize seeds using spectral imaging technology，the development trend of spectral imaging technology was prospected from the perspectives of research systematization and fusion of new algorithms，in order to provide references for non-destructive testing of maize seeds.

Key words: Maize seeds, Spectral imaging technology, Quality, Detection