… combined with machine learning methods could provide a potential automatic assessment …
recognition and machine learning. To acquire meaningful data and model for honey analysis, …

… similar possible (honey samples produced in the same region or from secretions from the
same flower, for instance), and samples from different groups are the most different possible. …

… technology can rapidly estimate the external characteristics of … The results showed that
this method has great potential for … Thus, the external characteristics of honey pomelo were …

… assess honey BO is through melyssopalynological analysis … The literature to date shows the
potential for NIR … honey screening even for a discrimination of potential fraudulent samples. …

… So it can help to identify the possible locations of honey samples. Disadvantages of these …
, we think some conventional time-consuming technologies like melissopalinological analysis …

… it is possible to use spectroscopy with machine learning techniques to predict adulteration
in honey; however, … This analysis is coresponding to the results shown in Tables 2, 3, and 4. …

… analysis of honey with the supervised machine learning models accelerates the analysis …
In honey, the possible adulterations are of many types, which include, deliberate addition of …

… method for honey analysis has great potential to overcome … significant implications over the
honey analysis accuracy. Those … for machine learning approaches for honey analyses which …

… The potential application of other spectroscopy techniques such as visible–near-infrared (…
The aim of the present study was to carry out a comparative analysis of the application of some …

… potential for the classification of 90 mono-floral honey … application in honey differentiation
control, we employed another technique for data analysis and prediction, Machine Learning. …