| URN | etd-0715125-173241 | Statistics | This thesis had been viewed 24 times. Download 0 times. |
| Author | Hui-Ling Tsao | ||
| Author's Email Address | No Public. | ||
| Department | Institute Of Mechanical Engineering | ||
| Year | 2024 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 86 |
| Title | A Study of The Coffee with Artificial Intelligence | ||
| Keyword | |||
| Abstract | In the agricultural economy, transformational reforms are taking place under the development of growing demand and expansion of cereal production. This evolution requires a significant re-evaluation of how coffee is produced and marketed, especially when it comes to integrating artificial intelligence (AI). In the past, studies on coffee beans were single items, so this study used literature analysis and summarized existing data on how artificial intelligence (AI) is used to detect and classify coffee beans. To this end, a comprehensive literature review was conducted to describe the most important research contributions of AI in the application of advanced classification techniques in coffee agriculture. Finally, the research analysis and discovery found that the implementation of AI technology can realize the classification of coffee beans, covering various attributes, such as defects, maturity, roasting degree, disease identification, flavor characteristics and overall quality. |
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| Files | indicate in-campus access at 5 years and off-campus access at 5 years | ||
| Date of Defense | 2025-07-02 | Date of Submission | 2025-07-16 |