Due to their high water content, frozen mushrooms (Agaricus bisporus) were greatly affected by ice crystal formation, which can lead to the destruction of tissue structure, serious browning, high juice loss, and difficulty in maintaining good sensory characteristics. In order to improve the quality of frozen Agaricus bisporus, this study employed Artificial neural network and genetic algorithm (ANN-GA) to optimize the amount of composite color protectant, and identified the optimal freezing conditions for freezing Agaricus bisporus by determining the freezing curves under different magnetic field-assisted freezing conditions, the color variance, texture and structure, drip loss, and distribution of moisture. Furthering, using X-ray μCT three dimensional images were taken to characterize the microstructure of the samples. Among them, the 6 mT magnetic field-assisted freezing treatment group was significantly better than the control group, and the results showed that the magnetic field-assisted freezing combined with chemical color protectant as a composite processing technology improved the quality of frozen Agaricus bisporus. This provides a theoretical basis and technical support for enhanced processing of frozen Agaricus bisporus.
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