Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things

<div>Variation of (a) R1 and RD, (b) CP, (c) Q and Q1, (d) α and α1 for FOE13 and FOE8 sensors with urea adulterated milk. (a) Parameter variation of R1 and RD; (b) Parameter variation of CP; (c) Parameter variation of α and α1.</div>

Journal of Food Quality

fig4

Figure 4

Figure 4: Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things 