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

Table 13

Advantages and disadvantages of classification techniques.

Classification techniques	Advantages	Disadvantages
ANN	It can manage noisy data as the technique is self-adaptive	Neural networks are time-consuming due to the training and selection of such NN is difficult
SVM	SVM helps for linear as well as nonlinear classification; it is easy to grasp, and when compared to other classification methods, it produces precise results	Hard to choose the parameters for the kernel function
PCA	Sensitivity is less to noisy data; the need for memory is decreased	Linear separation of data cannot be performed; it is complex to obtain the data of the covariance matrix precisely