Crop fruit growth tracing method and system

The invention relates to the field of artificial intelligence, and discloses a crop fruit growth traceability method and system, which are used for improving the accuracy of crop fruit growth traceability. Comprising the following steps: performing feature vector mapping on environment parameter information to generate a first feature vector set, and performing feature matrix extraction on manual operation information to generate a first feature matrix set; performing timestamp analysis on each first feature vector and each first feature matrix to generate a first timestamp set and a second timestamp set; performing time sequence matching to generate a target time sequence; performing data pairing on the first feature vector set and the first feature matrix set to generate target feature data, and performing identifier generation to obtain a target identifier; performing data coding processing on the target identifier to generate target coded data; and performing traceability information generation on the tar