Classification and Color

This module is designed to be used in conjunction with the Lesson 2 slide deck and other resources located in the facilitator’s guide.

Lesson Objective: In this lesson, you will learn about and apply ideas around image classification, neural nets, color, as well as how they can be used to monitor water quality..

Materials Needed:
- A computer with a webcam
- A web browser (Chrome, Firefox, or Safari)

Checkpoints on this Page:

• Checkpoint 1.a: Recalling Workshop #1
• Checkpoint 1.b: Compare/Contrast Human vs. Buoy Water Quality Testing

🔬💧 Welcome Back, Scientists!

🎯 Checkpoint 1. a: Review—Looking back to Workshop #1

• Let’s remember what we learned during workshop #1:
  • Forms of nitrogen in water
  • Roles of nitrogen in water
  • Using Python to store, summarize, and visualize data
  • Using statistics to summarize data

Meet the Buoy!

• This is Smokey Buoy!

🎯 Checkpoint 1. b: Compare and Contrast Human vs. Buoy Water Quality Testing

🗣️ Think Pair Share: Thinking back to the nitrates activity from last week, What are the benefits to using a computerized buoy to conduct water quality tests? Drawbacks?