Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection
- Title
- Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection
- Creator
- Pragathi S.P.; Jacob L.
- Description
- Expanding potential of coffee consumers to seek out the freshest and best flavors is a cause for the rise of specialty coffee inthe market. Specialty coffee is grown and harvestedmaintaining an emphasis on quality and clarity of flavor, whereas commodity coffee is harvested for caffeine content. Within those inclusive categories, arabica and robusta are the two types of main branches of coffee that weencounter in the coffee market. Specialty coffees differ significantly from conventional coffees in that they are cultivated at higher altitudes, can be traced, and are professionally processed after being harvested. The quality is constantly examined and understood at every stage, from growth to brewing. Green arabica quality is assessed by counting the defective beans present in the sample. These defects can be primary (Category I) or secondary (Category II). If the primary defects are null and less than five secondary defects, coffee is said to be a specialty.Prior research has been done on classifying the coffee species and differentiating good beans from bad beans. Our research involves the combination of machine learning like K-NN and deep learning convolutional neural networks for classifying specialty coffee from commodity type using computer vision. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
- Source
- Lecture Notes in Electrical Engineering, Vol-1096, pp. 13-20.
- Date
- 2024-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- K nearest neighbors; Object localization; Primary and secondary defects; Specialty coffee; Transfer learning
- Coverage
- Pragathi S.P., Department of Data Science, Christ University, Bangalore, India; Jacob L., Department of Data Science, Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 18761100; ISBN: 978-981997136-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Pragathi S.P.; Jacob L., “Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection,” CHRIST (Deemed To Be University) Institutional Repository, accessed March 2, 2025, https://archives.christuniversity.in/items/show/19528.