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.