> 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/jpn/tsu-webapuri/geopard-mcp/nasa.md).

# 最適な耕起深さ

複数の圃場で土壌の締め固まりを分析し、最適な耕起深さを決定する方法を学びます。

このユースケースでは、異なる深さと圃場における圧密強度を理解するために土壌圧密データセットを評価します。接続された状態で **GeoPard MCP**を使用して、Claudeは各圧密データセットと圃場ごとの統計的要約を取得し、根の成長を制限したり圃場の生産性に影響を与える可能性のある地下層を特定するのに役立てます。&#x20;

得られた知見は、効率的で的確な土壌管理を支援する圃場別の耕起深さ推奨を生み出します。

{% hint style="success" %}
このワークフローを実行する前にGeoPard MCPが接続されていることを確認してください。セットアップの詳細は [こちら](/geopard-tutorials/jpn/tsu-webapuri/geopard-mcp/geopard-mcpwo.md).
{% endhint %}

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

以下に、レポートと耕起（耕うん）推奨が表示されます。

<figure><img src="https://1993076779-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2F5oQ5dNhE1z7SdnCo2ces%2Fimage.png?alt=media&amp;token=96014374-94fc-4605-be83-b58b2d42e11b" alt="Soil Compaction Report and Tillage Recommendation: All Fields"><figcaption><p>土壌圧密レポートと耕起推奨：全圃場</p></figcaption></figure>

<figure><img src="https://1993076779-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2FhD8XYGVqSWmfMp5QYe01%2Fimage.png?alt=media&amp;token=2a69c6b2-ec31-4b87-9b34-5cdf01d3ee78" alt="Soil Compaction Report and Tillage Recommendation: Field 1"><figcaption><p>土壌圧密レポートと耕起推奨：圃場1</p></figcaption></figure>

<figure><img src="https://1993076779-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2FWa9Zn7XG7LBL8nm6TCqS%2Fimage.png?alt=media&amp;token=8601e228-1da1-4e94-8c15-daae47f9d5bf" alt="Soil Compaction Report and Tillage Recommendation: Field 2"><figcaption><p>土壌圧密レポートと耕起推奨：圃場2</p></figcaption></figure>

<figure><img src="https://1993076779-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2F3LzqA5TwjD5VHEeMyRN8%2Fimage.png?alt=media&amp;token=3c76de51-e157-4527-98d5-fd7303dd0736" alt="Soil Compaction Report and Tillage Recommendation: Field 3"><figcaption><p>土壌圧密レポートと耕起推奨：圃場3</p></figcaption></figure>


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.geopard.tech/geopard-tutorials/jpn/tsu-webapuri/geopard-mcp/nasa.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
