A capacitive soil probe, a $5 ESP32, and a tiny ternary model — that's a complete, offline, no-cloud crop sensor that decides when to irrigate, when frost is coming, and when conditions favour pests, right on the chip in the field.
Why edge AI fits agriculture
Farms are exactly where the cloud fails: patchy connectivity, no power for a gateway, thousands of cheap nodes, and data you'd rather keep local. An on-device classifier needs no network, draws almost nothing, and costs a few dollars per node.
What the agriculture head does
- Reads a short window of soil-moisture, air temperature, and humidity from real sensors (capacitive soil probe + DHT22).
- Classifies the field state on-chip: healthy, needs-irrigation, frost-risk, pest-favourable, or sensor-fault.
- Fires a relay (pump/valve) or an alert when it matters — no server in the loop.
- Knows when it's unsure and abstains, instead of raising a false alarm.
Train it on YOUR field
The shipped model is a physics-grounded demo. To make it real for your crop and soil, flash the logger firmware, record each condition for a few minutes, and run one training command — you get a custom, signed model trained on your own data, flashed back in minutes.
Honest scope
Two of the five sensor channels use documented derivations unless you add a soil-temperature and leaf-wetness sensor; on-silicon throughput is measured on an ESP32-WROOM-32. It's a real device path, not a lab mock-up — but it's a tool you calibrate to your field, not an oracle.
Frequently asked questions
Can an ESP32 run AI for agriculture offline?
Yes. Atome LM"s agriculture head runs a tiny ternary classifier on a $5 ESP32 that reads soil-moisture, temperature and humidity and decides irrigation, frost-risk and pest conditions fully offline, with no cloud or gateway.
How do I train it for my own crop?
Flash the logger firmware, record your sensor in each condition for a few minutes to a CSV, then run one train command. You get a custom signed model trained on your field, flashed back to the board in minutes.
How much does an on-device agriculture AI node cost?
The compute is a ~$5 ESP32 plus a few-dollar soil-moisture and temperature/humidity sensor. The model is open-source and runs locally, so there are no per-inference or cloud costs.