Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Review On Image based Coffee Bean Quality Classification: Machine Learning Approach Subject The topic of the resource Activation function; CNN; Computer Vision; Deep Learning; Machine Learning; Specialty Coffee Description An account of the resource 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 the coffee industry, that is specialty coffee and commodity/commercial coffee. Coffee beans are graded via visual inspection and cupping. A 300g sample of green coffee beans is used for visual assessment, and faulty beans are counted. As per the 'Specialty Coffee Association of America' (SCAA), defect can be either primary or secondary. For a coffee to be a specialty, it should have less than 5 secondary defects and zero primary defects. In this survey we have presented the coffee bean quality-related research which includes various machine learning approaches in classifying the coffee beans. The study has achieved quite promising prediction accuracies and was evaluated with test data. We have done a study on coffee bean quality classification and are willing to contribute an arabica coffee bean dataset and detection of coffee bean quality using transfer learning with higher accuracy. 2022 IEEE. Creator An entity primarily responsible for making the resource Pragathi S.P.; Jacob L. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 706-711. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074124" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074124</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152191047&amp;doi=10.1109%2FICAC3N56670.2022.10074124&amp;partnerID=40&amp;md5=ec82f192328332907c19b3410a6072d6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152191047&amp;doi=10.1109%2fICAC3N56670.2022.10074124&amp;partnerID=40&amp;md5=ec82f192328332907c19b3410a6072d6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pragathi S.P., Christ Deemed to Be University, M. Sc Data Science, Pune, India; Jacob L., Christ Deemed to Be University, Department of Data Science, Pune, India