Can Deep Learning Identify Tomato Leaf Disease?

Table 4

Classification accuracies with different parameters during fine-tuning of the ResNet. The numbers inside parenthesis indicate batch size and number of iterations.

Networks	label1	label2	label3	label4	label5	label6	label7	label8	label9	overall
ResNet (16,2496)	90.91%	88.89%	100%	100%	96.88%	100%	90.28%	88.20%	97.55%	94.98%
ResNet (16,4992)	98.18	98.77	100	98.62	96.88	100	96.53	88.82	98.77	97.19
ResNet (16,9984)	98.18%	97.53%	100%	98.62%	96.88%	100%	97.22%	86.96%	98.77%	96.94%
ResNet (32,2496)	97.27%	95.06%	100%	97.93%	96.88%	100%	95.14%	86.34%	99.39%	96.34%
ResNet (32,4992)	97.27%	95.06%	100%	97.24%	96.88%	100%	96.53%	86.96%	99.39%	96.51%
ResNet (32,9984)	96.36%	96.30%	100%	99.31%	96.88%	100%	94.44%	88.20%	98.77%	96.60%
ResNet (64,2496)	93.64%	93.83%	100%	97.24%	96.88%	100%	94.44%	87.58%	99.39%	95.92%
ResNet (64,4992)	94.55%	95.29%	100%	96.55%	95.83%	100%	95.83%	86.96%	99.39%	95.83%
ResNet (64,9984)	95.45%	93.83%	100%	97.93%	96.88%	100%	94.44%	87.58%	99.39%	96.17%