Abstract: Automatic non-destructive quality detection and grading of fruits are important measures to ensure consumer health and indirectly affect the economic value. With the rapid development of computer technology, considerable progress has been made in the application of artificial intelligence methods represented by deep learning in the field of fruit quality detection and grading. In this article, the ABCs and commonly used algorithms of deep learning are summarized. Then, the latest achievements in the application of deep learning in this field are reviewed from the aspects of external quality detection, internal quality detection, safety detection, and quality grading and classification. Finally, it summarizes the advantages in the future research and application of deep learning, fruit quality inspection, grading and classification cross fusion, and looks forward to the future development direction of fruit quality inspection and grading classification research fusion deep learning.

Key words: deep learning; fruit quality detection; fruit grading and classification; convolutional neural network; image processing