> For the complete documentation index, see [llms.txt](https://decentragri.gitbook.io/decentragri.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://decentragri.gitbook.io/decentragri.com/project-details/use-cases.md).

# Use Cases

#### 👨‍🌾 For Farmers

* Optimize yield using historical microclimate and soil data
* Compare seasonal performance year-over-year
* Share anonymized data and learn from neighboring farms

#### 🧑‍🔬 For Researchers

* Access high-quality, verified environmental datasets
* Train AI models on real-world agricultural data
* Track climate-related changes across geographic zones

#### 🏛 For Governments & NGOs

* Monitor environmental health at district or national scale
* Detect early warnings for drought, pests, or soil degradation
* Drive data-informed agricultural policy and subsidies

***

### 🔐 Data Ethics & Farmer Privacy

Farmer trust is foundational to DecentrAgri. All data practices follow a **farmer-first** model:

* 🔒 **Anonymization**: Personal identifiers are scrubbed from all shared datasets
* 🙋‍♂️ **Consent-Based Uploading**: No data is published without explicit opt-in
* 🧾 **On-Chain Transparency**: All uploads are trackable via blockchain audit trails