The invention discloses a bergamot
pear pulp crispness detection method based on force-sound synchronous acquisition. The method comprises the specific steps of 1 preparing a bergamot
pear sample; 2 carrying out puncture testing and mechanical characteristic parameter extraction; 3 carrying out sound
signal AED low-frequency acquisition analysis and parameter extraction; 4 performing high-frequency acquisition and de-noising preprocessing on a sound
signal recorder; 5 extracting high-frequency acquisition acoustic
time domain characteristic parameters; 6 extracting high-frequency acquisition
acoustic frequency domain characteristic parameters; 7 performing sensory evaluation on the crispness of the bergamot
pear; 8 analyzing the correlation between the sensory
evaluation result and the force-sound characteristic parameters; 9 performing
principal component analysis and dimension reduction on the force-sound characteristic parameters; 10 constructing and verifying a multivariate
linear regression bergamot pear crispness detection model based on principal components; and 11 constructing and verifying a bergamot pear crispness detection model based on the BP neural network of the principal components. The method is based on force-sound synchronous acquisition, integrates force-sound multi-characteristic parameters, establishes the multivariate
linear regression and BP neural network bergamot pear crispness evaluation model, and realizes objective and accurate evaluation of the bergamot pear crispness.