Templates / Schedule golf course irrigation with Open-Meteo, GPT-4o-mini, and Telegram

Schedule golf course irrigation with Open-Meteo, GPT-4o-mini, and Telegram

Ready for 3.0

by Swapnil Mandloi ✓ · 2 views · created 2026-09-29 · Engineering, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 18 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI Chat Model and Telegram. It also calls api.open-meteo.com and irrigation-controller.internal.golfclub.example over HTTP.

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

  1. Fetch Today's Weather Forecast (HTTP Request): calls api.open-meteo.com
  2. Split Zones Into Individual Items (Split Out): splits a list into separate items
  3. Compute Soil Moisture Deficit (Code): runs custom JavaScript code
  4. Recent Pesticide Application? (If): checks a condition and branches into true / false
  5. Extract REI & Buffer Requirements (Information Extractor): extracts structured fields from text with AI, with model: GPT-4o-mini for Label Extraction
  6. Merge: merges the data from its input branches
  7. Determine Zone Still Restricted (Code): runs custom JavaScript code
  8. Is Zone Restricted? (If): checks a condition and branches into true / false
  9. Flag Zone Skip Irrigation (Edit Fields (Set)): sets 2 fields: irrigation_minutes, skip_reason
  10. Compute Irrigation Run Minutes (Edit Fields (Set)): sets 2 fields: irrigation_minutes, skip_reason

…plus 6 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelTelegram

HTTP calls to: api.open-meteo.com, irrigation-controller.internal.golfclub.example

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (11)

From the author

Quick overview This workflow receives a daily batch of golf course zone sensor readings, pulls a forecast from Open-Meteo, calculates per-zone irrigation runtimes, checks pesticide-label REI and water-hazard buffer rules with OpenAI, then posts the final…

Excerpt from Swapnil Mandloi's description on n8n.io.

View the original on n8n.io → Check your own copy

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