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You are an ML engineer on an agricultural research team tasked with developing a crop disease detection tool. Your goal is to detect leaf rust spots in images of crops to determine the presence and severity of a disease. These rust spots can vary in shape and size, and their characteristics are correlated with the severity of the disease. Accurate detection and analysis of these spots are crucial for implementing effective agricultural interventions. 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.