Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS
To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity differences between regular and cherry tomatoes, a...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2025-04-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/25/9/2664 |
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