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[HTML][HTML] Deep-learning-based defective bean inspection with GAN-structured automated labeled data augmentation in coffee industry
In the production process from green beans to coffee bean packages, the defective bean
removal (or in short, defect removal) is one of most labor-consuming stages, and many …
removal (or in short, defect removal) is one of most labor-consuming stages, and many …
Review on image based coffee bean quality classification: machine learning approach
SP Pragathi, L Jacob - 2022 4th International conference on …, 2022 - ieeexplore.ieee.org
Specialty coffee's demand is growing worldwide as coffee drinkers continue to look for the
freshest and highest-quality flavors. Depending upon the quality, there are two categories in …
freshest and highest-quality flavors. Depending upon the quality, there are two categories in …
Improving defect inspection quality of deep-learning network in dense beans by using hough circle transform for coffee industry
CJ Kuo, DC Wang, TT Chen, YC Chou… - … on Systems, Man …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel Hough circle-assisting deep-network inspection scheme
(HCADIS), aiming at identifying defects in dense coffee beans. The proposed HCADIS plays …
(HCADIS), aiming at identifying defects in dense coffee beans. The proposed HCADIS plays …
A labor-efficient gan-based model generation scheme for deep-learning defect inspection among dense beans in coffee industry
CJ Kuo, CC Chen, TT Chen, ZJ Tsai… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Coffee beans are one of most valuable agricultural products in the world, and defective bean
removal plays a critical role to produce high-quality coffee products. In this work, we propose …
removal plays a critical role to produce high-quality coffee products. In this work, we propose …