Tea plant cultivar identification is normally achieved manually or by spectroscopic, chromatographic, and other methods that are time-consuming often inaccurate. In this paper, a method for the of three tea cultivars with similar leaf morphology proposed using transfer learning five pre-trained models: EfficientNet-B0, MobileNetV2, MobileNetV3, MobileViT-S, ShuffleNetV2. The results showed best...