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Detection of Cherry Quality Using YOLOV5 Model Based on Flood Filling Algorithm
Presently, the quality of cherries in the market is uneven, because human senses are used to distinguish cherry quality, which consumes a lot of time and energy and does not achieve good results in terms of accuracy. If the internal quality indices, such as the PH value, sugar–acid ratio, and vitami...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025714/ https://www.ncbi.nlm.nih.gov/pubmed/35454714 http://dx.doi.org/10.3390/foods11081127 |