The invention discloses a
visual screening method for planting
termitomyces albuminosus for
processing, and relates to the technical field of
food processing pretreatment and online quality grading. Interface prior and
raw material quality evaluation indexes are obtained through micro-
fog wetting dynamic imaging and four-dimensional space-time body representation; according to the method, the
evaporation flux, the gas-phase
mass transfer coefficient and the boundary
layer thickness are inversed by combining a knife
edge type Schriz light path, a two-section type
humidity step is adaptively set, a memory curve
fingerprint and
processing suitability evaluation index is calculated by a controlled
recursion model, and the bioactive components are estimated through a prediction relation established through offline calibration. Evaluating the suitability of the
collybia albuminosa sample purposes by adopting a multi-purpose suitability scoring model, outputting a purpose
classification result and a process parameter range of a corresponding purpose, issuing process parameters to
downstream processing equipment, receiving
quality monitoring data to form feedback, independently correcting a parameter mapping relation according to the type of the purpose, and determining the quality of the
collybia albuminosa sample. And a full-chain
closed loop of
raw material evaluation, parameter generation,
processing execution and quality feedback is realized.