Applications of Computer Vision for Assessing Quality of Agri-food Products: A Review of Recent Research Advances

作者：Ma Ji; Sun Da Wen^*; Qu Jia Huan; Liu Dan; Pu Hongbin; Gao Wen Hong; Zeng Xin An

来源：Critical Reviews in Food Science and Nutrition, 2016, 56(1): 113-127.

DOI：10.1080/10408398.2013.873885

• Computer vision
• image processing
• quality and safety
• applications
• agri-food products
• hyperspectral imaging
• 3D
• sonar

With consumer concerns increasing over food quality and safety, the food industry has begun to pay much more attention to the development of rapid and reliable food-evaluation systems over the years. As a result, there is a great need for manufacturers and retailers to operate effective real-time assessments for food quality and safety during food production and processing. Computer vision, comprising a nondestructive assessment approach, has the aptitude to estimate the characteristics of food products with its advantages of fast speed, ease of use, and minimal sample preparation. Specifically, computer vision systems are feasible for classifying food products into specific grades, detecting defects, and estimating properties such as color, shape, size, surface defects, and contamination. Therefore, in order to track the latest research developments of this technology in the agri-food industry, this review aims to present the fundamentals and instrumentation of computer vision systems with details of applications in quality assessment of agri-food products from 2007 to 2013 and also discuss its future trends in combination with spectroscopy.

• 出版日期2016
• 单位华南理工大学