Application of hyperspectral technology in detection of agricultural products and food: A Review

• Published in: Food science & nutrition Vol. 8; no. 10; pp. 5206 - 5214
• Main Authors: Zhu, Min, Huang, Dan, Hu, Xin‐Jun, Tong, Wen‐Hua, Han, Bao‐Lin, Tian, Jian‐Ping, Luo, Hui‐Bo
• Format: Journal Article
• Language: English
• Published: Malden, Massachusetts John Wiley & Sons, Inc 01.10.2020; John Wiley and Sons Inc
• Subjects: Agricultural land; Agricultural products; agricultural products and food; Agricultural technology; Algorithms; application; Cameras; Criminal investigations; Discriminant analysis; Feature selection; Food; Food production; Food quality; Food safety; Hyperspectral imaging; hyperspectral imaging technology; key points; Neural networks; Noise; Principal components analysis; quality and safety; Review; Reviews; Software; Variables; Water conservation; China
• ISSN: 2048-7177; 2048-7177
• DOI: 10.1002/fsn3.1852

Food is the foundation of human survival. With the development and progress of society, people increasingly focus on the problems of food quality and safety, which is closely related to human's health. Thus, the whole industrial chain from farmland to dining table need to be strictly controlled. Traditional detection methods are time‐consuming, laborious, and destructive. In recent years, hyperspectral technology has been more and more applied to food safety and quality detection, because the technology can achieve rapid and nondestructive detection of food, and the requirement to experimental condition is low; operability is strong. In this paper, hyperspectral imaging technology was briefly introduced, and its application in agricultural products and food detection in recent years was systematically summarized, and the key points in the research process were deeply discussed. This work lays a solid foundation for the peers to the following in‐depth research and application of this technology. Compared with chemical detection, the advantages of this technology were introduced. The application progress of hyperspectral technology in primary agricultural products and food in recent years was systematically reviewed. The deficiency and key points of this technology in the research were discussed in depth.