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...

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Detalles Bibliográficos
Autores principales: Chai, Jackey J. K., Xu, Jun-Li, O’Sullivan, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490577/
https://www.ncbi.nlm.nih.gov/pubmed/37688097
http://dx.doi.org/10.3390/s23177639

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