针对传统茶叶品质检测方法耗时、昂贵且依赖实验室设备的问题，本研究提出基于土壤数据的轻量级深度学习模型RMTN。该模型通过滚动操作将一维土壤参数向量转换为三维张量，结合Mobile-Tea模块实现高效特征提取，准确预测六种关键茶叶品质成分（GC、EGC、C、TF ...

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