> For the complete documentation index, see [llms.txt](https://avano.gitbook.io/dmeter/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://avano.gitbook.io/dmeter/problem-and-solution/solution/data-quality.md).

# Data Quality

C**hecking from Different Sources:** dMeter uses information from lots of different places, like gadgets (IOT Devices), pictures from space, and reports from you and your friends. It then checks if all this information matches up. For example, if a satellite picture shows some trees missing, dMeter checks if you or your friends reported that too. This way, it knows the information is right because it was confirmed in different ways.

**Smart Computers Helping Out:** dMeter uses very smart computers that can look at all the data and find patterns, like how the plants usually grow or if something strange is happening. These computers can spot anything that doesn’t look right and make sure it gets checked out. This helps keep the data accurate and helps you understand what’s really happening on earth.

**Always Up-to-Date:** dMeter collects and checks data all the time, so you always have the latest information. This is super helpful if something changes quickly, like if a storm hits your local area. With up-to-date information, you and your friends can take action right away to protect the what is important.

<br>

\*

<br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://avano.gitbook.io/dmeter/problem-and-solution/solution/data-quality.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
