A review on the application of computer vision and machine learning in the tea industry

Tea is rich in polyphenols, vitamins, and protein, which good for health tastes great. As a result, tea very popular has become the second most beverage world after water. For this reason, it essential to improve yield quality of tea. In paper, we review application computer vision machine learning industry last decade, covering three crucial stages: cultivation, harvesting, processing We found that many advanced artificial intelligence algorithms sensor technologies have been used tea, resulting some vision-based harvesting equipment disease detection methods. However, these applications focus on identification buds, several common diseases, classification products. Clearly, current limitations are insufficient intelligent sustainable development field. The fruitful developments related UAVs, navigation, soft robotics, sensors potential provide new opportunities machines, garden management, multimodal-based monitoring. Therefore, research combining undoubtedly future trend industry.