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2 cards from this section. Quick, good the night before a test.
What is calibration?
Think about how you would check if a scale is accurate.
Why do we need diverse data for AI models?
Consider how various types of soil can behave differently.
What is the purpose of calibrating sensors?
Consider what calibration helps maintain.
True or False: AI models require only one type of data to be effective.
Think about the variety of soil types there are.
You are overseeing a construction project and discover that the soil samples obtained have data readings that later are found to be inaccurate due to sensor calibration issues. Outline the steps you would take to address this issue.
Consider both technical and procedural measures.
Your agricultural AI model has been trained primarily on sandy soil data. Discuss the potential consequences this could have on yield predictions for clay-based soil regions.
Think about how soil types interact with crops.
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