- GROWTH
- STRESS
- MAPPING
- HUMAN
Short answer
How can I use AI to track my crop health?
Your AI pulls satellite imagery and vegetation indices to map plant growth and stress. You get a clear picture of seasonal development and specific areas needing attention.
The outcomes
What you'll see
The AI processes raw satellite data into these specific results.
GROWTH
Track seasonal development
The AI compares current vegetation indices against historical data to show how your crops are progressing through the season.
STRESS
Spot plant stress early
By analyzing changes in vegetation indices, your agent identifies areas where plant health is declining before it's visible to the eye.
MAPPING
Visual field analysis
Your agent pulls direct satellite imagery to provide a visual context for the numerical health data it calculates.
HUMAN
Decide on interventions
The AI provides the data and trends, but you decide when to apply fertilizer, water, or pesticides based on the findings.
The workflow
What your AI does when the data arrives.
Your AI acts as a remote sensing specialist, pulling and interpreting complex satellite datasets.
Gather visual data
The agent pulls recent satellite captures of your specific field coordinates to establish a visual baseline.
get_satellite_imageryCalculate plant vigor
Your AI calculates the Normalized Difference Vegetation Index to measure how much green biomass is present.
get_ndviAssess canopy density
The agent uses the Enhanced Vegetation Index to get a more accurate reading of plant health in high-biomass areas.
get_eviCompare to history
To find trends, the AI looks back at previous NDVI values to see if current growth matches the seasonal norm.
get_historical_ndvi
Try it
Copy these to start.
Use these prompts to begin analyzing your fields.
Starting points
Replace the bracketed text with your specific field coordinates or crop types.
OpenWeather Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cSGy1ndBfVKwh1VJde0ExmQiTQzPN8eBglxL4QW0/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — OpenWeather capabilities are ready to use.
{
"mcpServers": {
"openweather-agro-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cSGy1ndBfVKwh1VJde0ExmQiTQzPN8eBglxL4QW0/mcp"
}
}
}Get the latest satellite imagery for my corn field at [coordinates].
Compare the current NDVI to the historical NDVI for my wheat field at [coordinates].
Calculate the EVI for my soybean plot at [coordinates] and tell me if there's any stress.
Show me the NDVI trends for my vineyard at [coordinates] over the last three months.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect OpenWeather Agro once, then ask.
Just link your account with one click. Your credentials stay encrypted, and you can start asking questions immediately.
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How this task behaves
- 01
Can the AI change my irrigation settings?
No. The AI only reads and analyzes satellite data. You must manually control any physical farm equipment.
- 02
Does the AI provide real-time video feeds?
No. It works with satellite imagery and calculated vegetation indices, not live video.
- 03
Can I use this for any location?
Yes, as long as the coordinates you provide are covered by the satellite data available through the connector.
- 04
Will the AI delete my historical data?
No. The AI only reads data from the provider to perform analysis. It has no permission to delete or modify your records.
- 05
How accurate are the NDVI readings?
The accuracy depends on the satellite imagery provided by the service, which the AI interprets using the available tools.
More questions about OpenWeather Agro? The Connector page answers them. See everything the OpenWeather Agro Connector can do
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