Intelligent fruit quality detecting and grading system based on TinyML

The invention provides an intelligent fruit quality detecting and grading system based on TinyML. The intelligent fruit quality detecting and grading system comprises a fruit surface defect detecting device, an automatic spectrum collecting device and a single chip microcomputer. And the fruit surface defect detection device is used for detecting fruit surface defects and pre-grading fruit quality according to fruit surface defect detection result data. And the automatic spectrum acquisition device is used for acquiring spectrum data of the pre-graded fruits. The single-chip microcomputer is based on micro machine learning TinyML, and different neural network models corresponding to different devices are deployed in the single-chip microcomputer. The intelligent fruit quality detecting and grading system based on the TinyML can detect fruit surface defects, automatically collect fruit spectral data and grade the sugar degree of the fruits, artificial intelligence is achieved on a single-chip microcomputer in