Table 4.

Comparison of image classification models and results.

Dataset	Year	Model	Accuracy	Subject	Disease Classes
Plant Village	2016	AlexNet, GoogleNet, CNN	99.35%	14 Crops	26
	2018	VGG	99.53%	25 Plants	38
	2017	Multiclass SVM	95%	Potato	2
	2017	GoogleNet	99.18%	Tomato plant	9
	2017	GoogleNet	98.6%	Banana Leaf	2
Custom	2022	SE-ResNet-101, ILCAN	98.99%	Late Blight Detection	1
	2020	InceptionV3, VGG16, VGG19	93.4%	Tomato Leaves	6
	2020	CNN	98.4%	Corn	2
	2019	CNN	96.5%	Leaf images	11
	2019	VGG16 with Inception and Squeeze-and-Excite Module	91.7%	Apple and Cherry	4
	2019	CNN	98.8%	Maize Leaves	8
	2018	GoogleNet	98.9%	Maize Leaves	8
	2016	CaffeNet, CNN	96.3%	Leaf images	13