Deep learning for sunflower (Helianthus annuus L.) mapping and stand counting: Trade-offs between closed vs. open-access methods
Sunflower (Helianthus annuus L.) is a strategically important oilseed crop in North Dakota (ND), where accurate mapping of singles and doubles along with stand count is critical for yield assessment. In recent years, researchers have leveraged built-in deep learning (DL) models available within the...
| 出版年: | Smart Agricultural Technology |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Elsevier
2025-12-01
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| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2772375525004666 |