Lightweight Multi-Task Apple Ripeness Classification Model (Invited)

Table 1. Comparison chart between apple ripen grades and fruit skin colors
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Table 1. Comparison chart between apple ripen grades and fruit skin colors
Grade No. Grade 1 Grade 2 Grade 3 Grade 4
Typical image

Table 2. Dataset of fruit defects
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Table 2. Dataset of fruit defects
Index Training set Testing set Total
Defective 1280 250 1530
No defect 1305 250 1555
Total 2585 500 3085

Table 3. Maturity dataset
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Table 3. Maturity dataset
Grade No. Training set Testing set Total
Grade 1 1293 250 1543
Grade 2 1312 250 1562
Grade 3 1289 250 1539
Grade 4 1234 250 1484
Total 5128 1000 6128

Table 4. Classification results of fruit defects by D-Net
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Table 4. Classification results of fruit defects by D-Net
Model AlexNet ResNet-18 ResNet-34 VGG-16 D-Net
Recall 0.92 0.96 0.92 0.85 0.96
Precision 0.88 0.93 0.96 0.88 0.96
Accuracy 0.90 0.94 0.94 0.86 0.96

Table 5. Experimental comparison results of the maturity classification model

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Table 5. Experimental comparison results of the maturity classification model

Grade No.	Indicator	AlexNet	ResNet-18	ResNet-34	VGG-16	M-Net
Grade 1	Recall	0.88	0.92	0.92	0.87	0.89
	Precision	0.84	0.92	0.96	0.80	0.96
	F1 score	0.86	0.92	0.94	0.83	0.92
Grade 2	Recall	0.78	0.81	0.85	0.66	0.92
	Precision	0.85	0.84	0.88	0.76	0.88
	F1 score	0.81	0.82	0.86	0.70	0.90
Grade 3	Recall	0.84	0.84	0.92	0.73	0.96
	Precision	0.84	0.84	0.88	0.76	0.92
	F1 score	0.84	0.84	0.90	0.75	0.94
Grade 4	Recall	0.92	0.96	1.0	0.91	0.96
	Precision	0.88	0.92	0.96	0.80	0.96
	F1 score	0.90	0.94	0.98	0.85	0.96
Average accuracy		0.85	0.88	0.92	0.78	0.93

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Li Zhang, Xiaoge Wang, Chun Bao, Jie Cao, Qun Hao. Lightweight Multi-Task Apple Ripeness Classification Model (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(20): 2011012

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