Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction

Table 1

Classification of some grain products with different artificial intelligence methods.

No	Crop	Accuracy (%)	Data pieces	Class	Method	References
1	Maize	99.13	1632	17	MLDA + LS-SVM	(Xia et al. 2019)
2	Maize	93.85	12,900	3	RBFNN	(Zhao et al. 2017)
3	Wheat maize	99.4	804	13	PCA + PLS_DA	(Sendin et al. 2019)
4	Maize	95.95	656	2	DCNN	(An et al. 2019)
5	Rice	93.02	3810	2	LR	(Cinar & koklu 2019)
6	Wheat	93.46	3000	2	ANN	(Kaya & saritas 2019)
7	Rice	88.07	200	3	CNN	(Ahmed et al. 2020)
8	Drybean	93.13	13,611	7	SVM	(Koklu & ozkan 2020)