Table 3.
List of publications related to the application of combined EN and EE.
Food Matrix | Aim of the Study | EN | EE | Data-Fusion Method | Ref. |
---|---|---|---|---|---|
Pork meat | Determination of total volatile basic nitrogen content for evaluating pork freshness | 11 commercial MOS sensors | CCD camera | Mid-level with selected features | [80] |
Tilapia fillets | Characterization of fresh and spoiled tilapia fillets | 12 commercial MOS sensors | CCD camera | Low-level | [81] |
Longjing tea | Quality grading of tea samples | Commercial e-nose | CMOS camera | Mid-level with both feature extraction and feature selection High-level data fusion |
[82] |
Tomatoes | Prediction of ripening stage and quality parameters | 10 MOS sensors | CCD camera | Mid-level, fusion of first PCs of each block | [83] |
Strawberries | Evaluation of fungal contamination on strawberries during decay and determination of quality attributes | Commercial e-nose | Vis-NIR hyperspectral imaging system (400–1000 nm) | Low-level Mid-level with extracted features (PCA scores) |
[84] |
Pork meat | Quantification of intramuscular fat and peroxide value | Commercial e-nose | Vis-NIR hyperspectral imaging system (400–1000 nm) | Mid-level with extracted features (PCA scores after variable selection) | [85] |