> For the complete documentation index, see [llms.txt](https://docs.geopard.tech/geopard-tutorials/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.geopard.tech/geopard-tutorials/swe/produktvandring-webbapp/geopard-mcp/rensa-och-kalibrera-skordedata.md).

# Rensa och kalibrera skördedata

Lär dig hur du säkerställer statistiskt korrekt rensning och kalibrering av dina skördedataset genom att använda en LLM med GeoPard MCP.

I det här användningsfallet arbetar vi med skördedata för att förstå fördelningen och kvaliteten på den insamlade datan över fältet. Med den anslutna GeoPard MCP hämtar en LLM statistiska sammanfattningar för den ursprungliga skördedatan, upptäcker oregelbundenheter eller sensorsus och identifierar var rensning eller kalibrering behövs.

När kvalitetskontrollerna är klara triggar LLM:en GeoPard MCP:s arbetsflöde för rensning och kalibrering med de optimala parametrarna.

{% hint style="success" %}
Se till att GeoPard MCP är ansluten innan du kör detta arbetsflöde. Instruktioner för konfigureringen finns [här](/geopard-tutorials/swe/produktvandring-webbapp/geopard-mcp/anslut-geopard-mcp.md).
{% endhint %}

## Enskild skördedataset

{% @arcade/embed url="<https://app.arcade.software/share/Zjf8Hpwf0Ykij1Dl5r4L>" flowId="Zjf8Hpwf0Ykij1Dl5r4L" %}

### Före

<figure><img src="https://1016759462-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2FBTboCq739Ds6EWIoN8YI%2Fimage.png?alt=media&amp;token=d7b2b51d-a67b-43c1-9a57-7e9338abc93a" alt=""><figcaption></figcaption></figure>

### Efter

<figure><img src="https://1016759462-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2FcIBWxG32gH31rkN45Cq9%2Fimage.png?alt=media&amp;token=970b3cd3-1a7c-438d-bac0-a2db73d146de" alt=""><figcaption></figcaption></figure>

## Kalibrering av batchskördedataset

{% @arcade/embed url="<https://app.arcade.software/share/bibREyFI1hqQvPk7rBFq>" flowId="bibREyFI1hqQvPk7rBFq" %}

### Före

<figure><img src="https://1016759462-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2FUATNQLP0u88zsnlLkAAm%2Fimage.png?alt=media&amp;token=a85329be-0cb9-4c38-88c5-8b591638edf9" alt=""><figcaption></figcaption></figure>

### Efter

<figure><img src="https://1016759462-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2Fimu4ak8G06puVVlpSS6w%2Fimage.png?alt=media&amp;token=51ec2b97-fa4e-403a-af7c-e68506a872c7" alt=""><figcaption></figcaption></figure>


---

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