Abstract: A method for online monitoring of gel strength changes during surimi thermal processing based on hyperspectral imaging includes following steps: raw hyperspectral data of surimi samples during a heating process is acquired, and gel strength of the surimi samples is measured; the raw hyperspectral data is preprocessed; a dataset is constructed based on preprocessed raw hyperspectral data and the gel strength; a partial least squares (PLS) model is trained and validated using the dataset to obtain a gel strength prediction model; and the gel strength prediction model is utilized to monitor changes in gel strength during surimi thermal processing.