GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios
The efficiency of tea bud harvesting has been greatly enhanced, and human labor intensity significantly reduced, through the mechanization and intelligent management of tea plantations. A key challenge for harvesting machinery is ensuring both the freshness of tea buds and the integrity of the tea p...
| 出版年: | Agronomy |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2024-12-01
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| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2073-4395/14/12/2939 |