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This article discusses the development of a new algorithm, YOLOv8-CML, for the robotic picking of Color-changing melons in intelligent agriculture. The algorithm was found to outperform other lightweight algorithms and can provide technical support for this task. The dataset used for training and testing the algorithm was collected from a specific location in China and includes images from different angles and lighting conditions.