Abstract
In egg production facilities, the classification of eggs is carried out either manually or by using sophisticated systems such as load cells. However, there is a need for the classification of eggs to be carried out with faster and cheaper methods. In the agri-food industry, the use of image processing technology is continuously increasing due to the data processing speed and cost-effective solutions. In this study, an image processing approach was used to classify chicken eggs on an industrial roller conveyor line in real-time. A color camera was used to acquire images in an illumination cabinet on a motorized roller conveyor while eggs are moving on the movement halls. The system successfully operated for the grading of eggs in the industrial multi-flow production line in real-time. There were significant correlations among measured weights of the eggs after image processing. The coefficient of linear correlation (R2) between measured and actual weights was 0.95.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference59 articles.
1. Imaging Techniques in Agro-Industry and Their Applications, a Review;Yaqoob;J. Food Meas. Charact.,2021
2. Civic Agriculture: Reconnecting Farm, Food, and Community;Dupuis;Contemp. Sociol. A J. Rev.,2005
3. The Strategic Advantages of New Manufacturing Technologies for Small Firms;Meredith;Strateg. Manag. J.,1987
4. Combined Application of Decision Tree and Fuzzy Logic Techniques for Intelligent Grading of Dried Figs;Banakar;J. Food Process Eng.,2017
5. Ercetin, A., Akkoyun, F., Şimşir, E., Pimenov, D.Y., Giasin, K., Gowdru Chandrashekarappa, M.P., Lakshmikanthan, A., and Wojciechowski, S. (2021). Image Processing of Mg-Al-Sn Alloy Microstructures for Determining Phase Ratios and Grain Size and Correction with Manual Measurement. Materials, 14.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献