What should you do?

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.

Answer: B