Classification of oolong tea varieties based on computer vision and convolutional neural networks.

The study elucidates that the integration of computer vision with machine learning algorithms constitutes a promising, non-invasive approach for the quick and accurate categorization of oolong tea varieties. The findings have significant ramifications for process monitoring, quality assurance, authenticity validation, and adulteration detection within the tea industry. This article is protected by copyright. All rights reserved.