Using Image Processing and Machine Learning To Identify Plant Diseases

The use of machine learning and image processing techniques for plant disease diagnosis is explored in this research. We compare various disease classification algorithms and frameworks and do a thorough study of prior research. This analysis highlights the benefits and limits of current approaches by diving into the accuracy attained in detecting various plant ailments. Also included is an analysis of the difficulties faced and potential solutions to these problems within this rapidly developing field.