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Real-Time Detection of Strawberry Ripeness Using Augmented Reality and Deep Learning
Currently, strawberry harvesting relies heavily on human labour and subjective assessments of ripeness, resulting in inconsistent post-harvest quality. Therefore, the aim of this work is to automate this process and provide a more accurate and efficient way of assessing ripeness. We explored a uniqu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490577/ https://www.ncbi.nlm.nih.gov/pubmed/37688097 http://dx.doi.org/10.3390/s23177639 |