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

Table 8

Comparison of fuzzy system techniques.

Author and year	Methodology	Detected diseases	Remarks	Dataset
Rothe and Kshirsagar [38]	Adaptive neuro-fuzzy inference system; Graph cut method	Bacterial blight; Myrothecium; Alternaria	Accuracy of 90%	N/A
Zhao et al. [39]	Rough set fuzzy C-means clustering	Cotton aphids	The accuracy rate of segmentation is 85%	20 images
Zhang et al. [40]	Fuzzy feature selection	Anthracnose; Black spot; Red leaf blight	N/A	150 images
Chengai Yang [43]	Fuzzy technique	Root rot	N/A	N/A