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...

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Detalles Bibliográficos
Autores principales: Chen, Yenming J., Liou, Yeong-Cheng, Ho, Wen-Hsien, Tsai, Jinn-Tsong, Liu, Chia-Chuan, Hwang, Kao-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Conference Collection IMETI 2021
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496471/
https://www.ncbi.nlm.nih.gov/pubmed/35818893
http://dx.doi.org/10.1177/00368504221110856

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