You are an ML engineer on an agricultural research team working on a crop disease detection tool to detect leaf rust spots in images of crops to determine the presence of a disease. These spots, which can vary in shape and size, are correlated to the severity of the disease. You want to develop a solution that predicts the presence and severity of the disease with high accuracy. What should you do?

A. Create an object detection model that can localize the rust spots. B. Develop an image segmentation ML model to locate the boundaries of the rust spots. C. Develop a template matching algorithm using traditional computer vision libraries. D. Develop an image classification ML model to predict the presence of the disease.