 This paper provides a comprehensive overview of different approaches to detecting plant diseases using images. It compares traditional machine learning algorithms with deep learning algorithms and examines the advantages and disadvantages of each approach. Visible range images are found to be more commonly used than spectral range images, but both have their own strengths and weaknesses. Deep learning algorithms are shown to provide better results than traditional machine learning algorithms, but there are still some limitations which need to be addressed before they can be fully implemented. This article was authored by Radhika Bhagwat and Yogesh Danduwait.