Quality inspection of agri-food products using near-infrared (NIR) hyperspectral imaging

南阿尔伯塔有丰富多样的农作物生产，包括小麦、油菜籽、豆类、玉米、土豆和甜菜。该地区的农业收入超过31.1亿美元，并为莱斯布里奇附近的120多家成熟的农业食品企业提供高质量的原材料，其中包括许多世界领先的食品加工商。根据食品安全法规的要求和消费者对高质量和安全食品日益增长的需求，对整个供应链的农产品进行强有力的质量测量至关重要。食品加工业正在寻找快速、无损的质量和安全检测方法。近红外（NIR）高光谱成像技术作为一种快速、无损和多分析的技术，用于农产品的质量和安全检测，提高了测量精度。高光谱成像以空间分辨的方式提供光谱信息；因此，扫描样品的每个像素都有自己的光谱。大量的成分信息与空间标识一起，可用于农产品的质量（质地、风味、形状、营养价值和成分）和安全性（化学和微生物污染、异物、杂质和掺假）检验，如：谷物和其他谷物、肉类、水果和蔬菜、乳制品和加工食品。

Southern Alberta has a rich diversity of crop production including wheat, canola, pulses, corn, potatoes, and sugar beets. The region generates over $3.11 billion in farm revenues and provides high quality raw material for over 120 established agri-food businesses located near Lethbridge, including many world-leading foodprocessors. Robust quality measurement of agri-food products throughout the supply chain is critical, asrequired by food safety regulations and increased consumer demand for high quality and safe food.The food processing industry is looking for rapid and non-destructive methods for quality and safetyinspection. Near Infrared (NIR) Hyperspectral imaging is emerging as rapid, non-destructive andmulti-analytical technology for quality and safety inspection of agri-food products with improved measurementaccuracy. Hyperspectral imaging provides the spectral information in a spatially resolved manner; therefore, each pixel of a scanned sample has its own spectrum. The vast amount of compositional information alongwith spatial labeling, can be used for quality (texture, flavor, shape, nutritional value, and composition) and safety (chemical and microbial contamination, foreign material, impurity, and adulteration) inspection ofagri-food products such as: cereals and other grains, meat, fruits and vegetables, dairy products, and processed food.