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An efficient tomato-detection method based on improved YOLOv4-tiny model in complex environment
Automatic and accurate detection of fruit in greenhouse is challenging due to complicated environment conditions. Leaves or branches occlusion, illumination variation, overlap and cluster between fruits make the fruit detection accuracy to decrease. To address this issue, an accurate and robust frui...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106724/ https://www.ncbi.nlm.nih.gov/pubmed/37077640 http://dx.doi.org/10.3389/fpls.2023.1150958 |