A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases

Table 9

Comparison of support vector machine techniques.

Author and year	Methodology	Detected diseases	Remarks	Dataset
Bhimte and Thool [44]	Support vector machine classification	Bacterial blight; Magnesium deficiency	Accuracy of 98.46%	130 images; 100 infected images; 30 noninfected images
Prashar et al. [48]	Support vector machine; KNN	N/A	Accuracy of 96%	N/A
Vijaya Kishor et al. [51]	SVM tool classification	N/A	Accuracy of 96%	N/A
Prajapati et al. [50]	Support vector machine; KNN; Neural network	Alternaria; Bacterial blight; Cercospora	N/A	N/A