Research graph
References from Framework to Detect Adulterated Honey Using Hyperspectral Imaging and Machine Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1016/j.ifacol.2016.10.057
10.1016/j.ifacol.2016.10.057 · External reference
10.1007/s00217-022-04113-9
10.1007/s00217-022-04113-9 · External reference
10.1016/j.vibspec.2022.103340
10.1016/j.vibspec.2022.103340 · External reference
10.3390/foods11233868
10.3390/foods11233868 · External reference
10.1007/s12161-023-02538-w
10.1007/s12161-023-02538-w · External reference
10.1371/journal.pdig.0000536
10.1371/journal.pdig.0000536 · External reference
Botanical Origins Classification and Adulteration Detection in NZ Honey Using Machine Learning and Hyperspectral Imaging
2022 · External reference
10.1016/j.chemolab.2020.103939
10.1016/j.chemolab.2020.103939 · External reference
10.1016/j.foodcont.2022.109573
10.1016/j.foodcont.2022.109573 · External reference
10.3390/foods10020477
10.3390/foods10020477 · External reference
10.1016/j.infrared.2023.104692
10.1016/j.infrared.2023.104692 · External reference
10.3390/foods12132491
10.3390/foods12132491 · External reference
10.1109/access.2023.3343731
10.1109/access.2023.3343731 · External reference
10.1016/j.crfs.2023.100565
10.1016/j.crfs.2023.100565 · External reference
10.3390/foods13223630
10.3390/foods13223630 · External reference
10.1111/jfpe.70341
10.1111/jfpe.70341 · External reference
Unresolved reference
2023 · External reference
