Intelligent Detection of Muskmelon Ripeness in Greenhouse Environment Based on YOLO-RFEW
Accurate detection of muskmelon fruit ripeness is crucial to ensure fruit quality, optimize picking time, and enhance economic benefits. This study proposes an improved lightweight YOLO-RFEW model based on YOLOv8n, aiming to address the challenges of low efficiency in muskmelon fruit ripeness detect...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2024-05-01
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| Series: | Agronomy |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2073-4395/14/6/1091 |
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