用AI精准分拣椰枣，提升品质与保质期预测能力
SmartDate: AI-Driven Precision Sorting and Quality Control in Date Fruits
- 融合深度学习与强化学习，实时优化分拣策略
- 分类准确率94.5%，F1-score达93.1%，AUC-ROC为0.96
- 适合智能农业、农产品质检领域应用
SmartDate是一种基于人工智能的椰枣自动化分拣与质量控制体系。系统结合深度学习、遗传算法和强化学习，利用高分辨率成像与可见光-近红外（VisNIR）光谱传感器，评估水分、糖分及质地等关键指标。强化学习实现对生产环境的实时适应，遗传算法优化模型参数。实验表明，该系统在分类任务中达到94.5%的准确率、93.1%的F1-score以及0.96的AUC-ROC值。通过减少损耗并确保仅高品质椰枣进入市场，显著提升了农产品供应链效率，为智慧农业树立新标杆。
原文摘要 · Abstract (English)
SmartDate is an AI-powered system for automated sorting and quality control of date fruits. It combines deep learning, genetic algorithms, and reinforcement learning to improve classification accuracy and predict shelf life. The system uses high-resolution imaging and Visible-Near-Infrared (VisNIR) spectral sensors to evaluate key features such as moisture, sugar content, and texture. Reinforcement learning enables real-time adaptation to production conditions, while genetic algorithms optimize model parameters. SmartDate achieved 94.5 percent accuracy, 93.1 percent F1-score, and an AUC-ROC of 0.96. The system reduces waste and ensures that only high-quality dates reach the market, setting a new benchmark in smart agriculture.
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