Identification of Damage in Pear Using Hyperspectral Imaging Technology

Table 1

Discriminant accuracy of the PLS-DA model based on R, A, and K-M spectra.

Spectra	Pretreatment	Accuracy (%), test set/calibration set
		Sound	I	II	III	Total
R	RAW	50.00/66.67	87.50/62.5	31.25/60.42	68.75/70.83	63.33/65.10
	GF	50.00/66.67	87.50/62.5	31.25/60.42	68.75/70.83	63.33/65.10
	SNV	62.50/75	87.50/64.58	43.75/60.42	62.50/62.5	64.06/65.63
	MSC	62.50/75	87.50/64.58	43.75/60.42	62.50/62.5	64.06/65.63
	COW	43.75/66.67	100/70.83	37.5/85.42	68.75/77.08	62.5/75
	SGD	50/72.92	81.25/81.25	43.75/70.83	62.5/77.08	59.38/74.48
A	RAW	43.75/68.75	87.50/75	37.5/79.17	62.50/72.92	57.81/73.96
	GF	50.00/68.75	93.75/75	37.5/79.17	62.50/70.83	57.81/73.44
	SNV	68.75/72.92	68.75/68.75	37.5/60.42	56.25/62.5	57.81/66.15
	MSC	68.75/72.92	68.75/68.75	37.5/60.42	56.25/62.5	57.81/66.15
	COW	62.5/62.5	35.42/93.75	18.75/54.17	68.75/64.58	60.94/54.17
	SGD	50/79.17	62.5/39.58	25/43.75	62.5/54.17	50/48.96
K-M	RAW	50/75	87.5/77.08	50/81.25	43.75/81.25	64.06/75.52
	GF	50/70.83	87.5/77.08	31.25/81.25	56.25/81.25	56.25/74.48
	SNV	43.75/81.25	75/70.83	37.5/62.5	56.25/60.42	53.13/68.75
	MSC	43.75/79.17	81.25/68.75	37.5/58.33	56.25/62.5	52.08/67.19
	COW	43.75/75	93.75/81.25	43.75/62.5	68.75/68.75	62.5/71.88
	SGD	37.5/58.33	93.75/64.58	31.25/54.17	50/56.25	53.13/58.33