Develop a template matching algorithm using traditional computer vision libraries, which is efficient for detecting known patterns but may not adapt well to the variability in rust spot appearances.

Create an object detection model that can pinpoint the rust spots, useful for locating objects within images but may not provide detailed information on the disease's intensity.

Develop an image classification ML model to determine the presence of the disease, which can classify images but lacks the granularity to assess disease severity accurately.

Develop an image segmentation ML model to identify the boundaries of the rust spots, enabling precise detection of the disease's presence and a detailed assessment of its severity by analyzing the segmented areas.