Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months
Near infrared spectroscopy (NIRS) coupled with machine learning has demonstrated its capability as an efficient secondary measurement method in various applications. However, a NIRS predictive model might be unable to maintain its accuracy when it is applied to samples that were acquired from diff...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/12065/1/J17662_1ab9681b5721b5a73029efc28412fc33.pdf http://eprints.uthm.edu.my/12065/ https://doi.org/10.1016/j.knosys.2024.111817 |
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