The invention provides a live pig immune function
prediction system and method based on
artificial intelligence. The
system comprises a detection device used for detecting intestinal
flora detection data corresponding to a plurality of
omics and detection result data of a plurality of
metabolic markers of a live pig in a stress state; the edge optimization decision device is used for performing
feature extraction according to the detection result data to obtain metabolic
feature data; the prediction and
display device is used for simulating an expression relationship between the activity of a key metabolic
enzyme and
immune effector molecules of the live pig in a stress state according to the intestinal
flora detection data to obtain metabolic-immune interaction data, storing the metabolic-immune interaction data in a metabolic-immune
database, and displaying the metabolic-immune interaction data in the metabolic-immune
database. According to the
metabolism characteristic data and
metabolism and
immunity interaction data stored in a
metabolism and
immunity database, determining a
dose effect relationship between the functional
amino acid and the
immunity phenotype to obtain metabolism spectrum characteristics of the live pig in a stress state, and according to the metabolism spectrum characteristics, predicting, generating and displaying an
amino acid ratio or daily ration intervention strategy.