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光谱成像技术显著增强了食品在供应链各环节的检测能力。该技术能够从天然食品中提取详细的图像信息，从而有效监测加工产品的质量变化。通过提供全面数据支撑，这项技术实现了从生产到消费全流程的食品质量检测与安全管控的全面提升。
品质分级
Spectral imaging facilitates quality grading by capturing detailed information from both images and spectral fingerprints. These data points correlate with attributes such as ripeness, freshness, and texture. Objective quality grades are essential for maintaining consistent product standards. Additionally, monitoring before and after storage enables quantitative analysis of factors like aging and spoilage.
陈皮检测
陈皮作为中药材中的重要原料，其价值主要由陈化年限决定。然而，传统鉴定方法依赖主观经验评估年份与定价，导致从仓储到零售的整个供应链中常出现商业纠纷。
光谱成像技术为此提供了客观解决方案。通过量化陈皮的光谱特征，能够科学鉴定其陈化年限，从而建立交易黄金标准。这不仅保障了价格公允性，更提升了市场透明度与信任度。
Aged tangerine peel is a valuable ingredient in Chinese traditional medicine, with its price primarily determined by the duration of aging. However, assessing age and consequently setting prices has been a subjective process, leading to commercial disputes throughout the supply chain—from warehouses to retail.
Spectral imaging, on the other hand, offers an objective solution. By quantifying the age of dried tangerine peels, it establishes a golden standard for transactions. This not only ensures fair pricing but also enhances transparency and trust in the market.
真伪鉴定与分选
Spectral imagingenables the identification, sorting, and prevention of adulteration based on both image and spectral information. This correlation extends to different materials or food ingredients. Such inspections can be conducted either manually or automatically when integrated into sorting machines. Ultimately, this contributes to improved and consistent product quality.
自动化茶叶分选
