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Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods
In a pineapple exporting factory, manual lines are usually built to screen fruits of non-ripen hitting sounds from millions of undecided fruits for long-haul transportation. However, human workers cannot concentratedly listen and make consistent judgments over long hours. Pineapple screening becomes...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496471/ https://www.ncbi.nlm.nih.gov/pubmed/35818893 http://dx.doi.org/10.1177/00368504221110856 |