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Agriculture Sector being most vital parts of every Nation. The production of a crop mostly relies on numerous features and result is relied on the end yield and on the selling rate of that crop. In today's world there is a growth of countless technologies which can predict the growth of a crop on a regular basis, what must be added in that type of soil to make it more productive on-the-basis of study of that region. Crop Prediction using Deep Learning methods is indeed an upcoming challenge in the field of Agriculture.Deep Learning would increase the efficiency of the workforce, a huge amount of time would be spending in learning analytics, therefore increasing one's concentration leading to predicative analytics also there would be personalized learning, the dependency on others would slowly start to terminate. The main aim of this paper is to focus on crop prediction by using numerous algorithms of machine as well as deep learning, and then to draw a comparison on the results and other performance measure of the different algorithms of Machine Learning and Deep Learning.