Hyperspectral image-based method for forecasting growth of pseudomonas aeruginosa

The invention relates to a hyperspectral image-based method for forecasting the growth stages of a typical meat putrefying bacterium-pseudomonas aeruginosa, and belongs to the nondestructive technology of food quality safety quick detection and monitoring. A hyperspectral imager is adopted for extracting spectrum and image information of pseudomonas aeruginosa of two concentrations on a plating medium for 48 hours, extracting the spectrum and image characteristics, and creating a growth model of the pseudomonas aeruginosa. Compared with a growth condition obtained through the conventional microbe growth detection manner, the related coefficient ranges from 0.92 to 0.99. The method provides a new concept and a new technology for growth detection of microbes, and can be used for detecting, monitoring and controlling meat qualities and safety.