Deep Learning is a technology that is used to classify and identify images. Detecting diseased plants and acting accordingly is very helpful in the agricultural business. The industrial sector is dominated by cotton, one of the most significant cash crops and sources of fiber. Diseases caused by different diseases like bacteria blight, Leaf curl, and fusarium wilt are one of the main issues with cotton crops. So, it’s important to determine the type of disease prior to its spreading, classify it, and apply the appropriate remedies. So, that it can increase the yield of the cotton crop. In order to this, classify these cotton diseases, using Resnet-50, a convolutional neural network (CNN) architecture. It is a very deep neural network that has 50 layers and can recognize very complex features and patterns in images. The accuracy of this study is 99.05%.