Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety Identification

Table 7

Comparison results of others’ work.

References	Year	Dataset	Accuracy (%)
[39]	2021	Rice_image_dataset	ANN	99.87
			DNN	99.95
			CNN	100
[40]	2022	Rice_image_dataset	Logistic regression	99.25
			Multiperceptron	99.9
			Classification	97.4
[41]	2022	Rice_Image_dataset	Classification	98.2
[42]	2022	Rice dataset	Classification	93.04
Proposed	2022	Rice_image_dataset	Linear SVM	99.9
			Quadratic SVM	100
			Weight CNN	99.9
			Cosine CNN	99.9
			Linear discriminant	99.7
			Medium NN	99.9
			Narrow NN	99.9
			Wide NN	99.9
			Bilayered NN	99.9
			Trilayered NN	99.9