Discrimination of Apples Using Near Infrared Spectroscopy and Sorting Discriminant Analysis

Figures & data

FIGURE 1 The average NIR spectra of apples.

TABLE 1 Classification accuracies for apples using DPLS

Tolerance	11%	10%	9%	8%	7%
Classification accuracies	71.11%	72.22%	74.44%	56.67%	64.44%
Number of components	2	4	7	11	13

TABLE 2 Classification accuracies for apples using PCA, PCA+LDA, and SDA with NNC

The number of eigenvectors	The classification accuracies (%)
	PCA	PCA+LDA	SDA
2	72.22	74.44	74.44
5	72.22	74.44	71.11
10	72.22	74.44	81.11
15	72.22	87.78	84.44
20	72.22	91.11	92.22
25	72.22	92.22	90.00
35	72.22	90.00	91.11
40	72.22	92.22	93.33
45	72.22	91.11	92.22
50	72.22	91.11	95.56
55	72.22	93.33	94.44
59	72.22	93.33	96.67
65	72.22	94.44	95.56
68	72.22	93.33	96.67
72	72.22	93.33	96.67
78	72.22	94.44	95.56
85	72.22	94.44	95.56
87	72.22	95.56	95.56

FIGURE 2 Scores plot of: (a) PC1 and PC2; (b) PC1, PC2, and PC3; (c) DV1 and DV2.

FIGURE 3 The values of: (a) the normalized J(v_k); (b) g(v_k).

FIGURE 4 Scores plot of SDV1 and SDV2.