Deep Learning based Coffee Beans Quality Screening
Authors: Shao, B., Hou, Y., Huang, N., Wang, W., Lu, X. and Jing, Y.
Journal: Proceedings 2022 IEEE International Conference on E Business Engineering Icebe 2022
Pages: 271-275
DOI: 10.1109/ICEBE55470.2022.00054
Abstract:Coffee bean quality screening is a time-consuming work, and its workload increases abruptly with the rapid development of coffee beverage consumer market. In this work, a CNN-based classifier is developed to categorizing the coffee beans into sour, black, broken, moldy, shell, insect damage and good beans. The screening test results show that the screening accuracy could reach more than 90% for all other beans except for shell beans (88%). Therefore, the proposed method is feasible and promising. Moreover, a cost-effective automatic coffee bean screening system using the developed classifier is manufactured and implemented for a local company.
Source: Scopus