Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model

Table 6

Comparison of performance analysis of proposed with the existing method.

Reference	Classifier model	Plant name	Diseases	Dataset	Accuracy (%)
[28]	CNN	Multiple	Multiple	Self	93.4
[29]	GoogLeNet	Multiple	Multiple	Digipathos	80.75
[30]	DCNN	Multiple	Multiple	Self	95.48
[31]	CNN	Firecracker and pomegranate	Multiple	Self	93.4
Proposed	CNN	Gloriosa superba	Binary	Self	99.32