Conclusion

This paper describes how biosensors and deep learning can be combined to assess food quality. By presenting representative work on convolutional neural networks and biosensors, the effectiveness and reliability of convolutional neural networks and biosensors in extracting food quality features are shown. Finally, the paper discusses the possible challenges of the method in assessing food quality and the future prospects of the development.