Let an agent control a garden using a lakehouse
The author gave an agent a data lakehouse and control of their garden; the post is only a headline, so details are not stated. ·
Done with a custom-built or unnamed agent
- What they did
- Javier de la Torre put eleven Ecowitt sensors and a Reolink camera on a two-square-metre bed. Both stream into a LakehouseBox catalog of Iceberg tables, set up by prompting an agent. A hosted agent runs at 08:45 each day, checks readings, forecast and photos, and emails a short note. It changes watering through an old Android phone that taps the Rain Bird app.
- How it went
- About four million readings were collected in seven weeks. The agent adjusts watering and often decides to do nothing. The camera missed caterpillar damage, which close-up phone photos caught. Whether the broccoli improves is still unknown.
- Worth knowing
- The watering limits (at most 20% change, 1 to 15 minutes) sit only in the agent's prompt. The author wants them enforced in the actuator instead. The camera stored about 3 GB of the 5 GB free plan.
Try it yourself with OpenClaw
I want to automate my garden at [location/type of garden]. Read the sensor or data sources I give you ([e.g. soil moisture sensor, weather API, watering log]), then propose a simple watering and care schedule based on that data. Start by showing me the plan and the data it relies on; do not trigger any device such as a valve or sprinkler until I approve each action.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Discussion on HN · Nov 8, 2026
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