Machine learning driven approach towards the quality assessment of fresh fruits using non-invasive sensing

Ren, A. , Zahid, A., Shah, S. A. , Imran, M. A. , Alomainy, A. and Abbasi, Q. (2019) Machine learning driven approach towards the quality assessment of fresh fruits using non-invasive sensing. IEEE Sensors Journal, (Accepted for Publication)

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Item Type:Articles
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Zahid, Mr Adnan and Ren, Dr Aifeng and Abbasi, Dr Qammer and Shah, Mr Syed
Authors: Ren, A., Zahid, A., Shah, S. A., Imran, M. A., Alomainy, A., and Abbasi, Q.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Sensors Journal
Publisher:IEEE
ISSN:1530-437X
ISSN (Online):1530-437X

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