Coffee Grading with Convolutional Neural Networks using Small Datasets with High Variance-Reference-Cited by-同舟云学术

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Coffee Grading with Convolutional Neural Networks using Small Datasets with High Variance

Published:2019 Issue:2 Volume:27 Page:
ISSN:1213-6972
Container-title:Journal of WSCG
language:
Short-container-title:JWSCG

Author:

Wallelign Serawork,Polceanu Mihai,Jemal Towfik,Buche Cédric

Publisher

University of West Bohemia

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Software

Link

http://wscg.zcu.cz/wscg2019/2019-papers/!_2019_JWSCG-2-4.pdf

Cited by 8 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

1. Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models;Neural Computing and Applications;2024-04-01

2. A Study of the Physical Characteristics and Defects of Green Coffee Beans That Influence the Sensory Notes Using Machine Learning Models;Processes;2023-12-20

3. Raw Coffee Bean Classification for Roasting Suitability Assessment Using Transfer Learning;2023 IEEE 11th Conference on Systems, Process & Control (ICSPC);2023-12-16

4. Coffee Bean Roasting Levels Detection: A Systematic Review;2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2023-11-29

5. Coffee Crop Detection from UAS Orthomaps with Convolutional Neural Networks;2023 IEEE Conference on AgriFood Electronics (CAFE);2023-09-25

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