Google Cloud Professional Machine Learning Engineer — Question 130

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?

Answer options

• 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.

Correct answer: B

Explanation

The correct answer is B because image segmentation allows for precise delineation of the rust spots' boundaries, which is essential for assessing their severity. Options A and D do not provide the necessary detail for severity assessment, as object detection only locates and classification does not measure severity. Option C lacks the sophistication needed for accurate disease detection compared to modern ML approaches.