Agrarobotics.

Agricultural robotics · Bad Schwalbach, DE

Detect. Visualize. React.

Agrarobotics brings RISC-V + Rust + edge ML out of the lab and into the field — field-hardened robots that sense, decide, and act where the crop actually grows.

ESP32-P4 edge ML Rust-first firmware Solar · LoRa · weatherproof
DetectSense the field
On-device vision + sensors classify crop, weed, pest, and soil state at the edge — no cloud round-trip.
VisualizeSee the map
Detections stream into a live spatial map (SQLite telemetry) so operators grasp the whole field at a glance.
ReactAct in place
The robot triggers the right action — target spray, mark, or route — deterministically, in real time.

The stack

Built on RISC-V, Rust, and edge ML.

The same technology taught openly at riscvml.org, hardened for commercial deployment in agriculture.

Compute

ESP32-P4 edge ML

400 MHz dual-core RISC-V with AI extensions and camera interfaces — inference at the sensor, not the datacenter.

Firmware

Rust-first, no GC

Memory-safe, deterministic embedded firmware. Zero-cost abstractions where every microsecond and byte counts.

Field

Hardened for the row

Weatherproofing, solar power, and LoRa/Wi-Fi connectivity — engineered for dust, sun, and no signal.

Solutions

From detection to decision, in the field.

Crop & weed

Targeted intervention

Distinguish crop from weed on-device and act only where needed — less input, more yield.

Telemetry

Local-first logging

SQLite3 on the edge captures every detection and action for offline analysis and audit.

Fleet

Coordinated units

Multiple field-hardened units share a map and split the work across the block.

Products

Software that ships with the science.

Agrarobotics also builds the tools engineers use to capture and reason about field knowledge.

Rumima ↗

AI visual knowledge platform

Collapse a thousand-node knowledge graph to the three nodes you need now — Focus on Demand & PDA.

RISCVML

Open curriculum

The educational foundation — RISC-V + Rust + ML — that this commercial work is built on.

Consulting

Field deployments

From prototype to a hardened fleet running in your rows. Talk to us.

Premium

Go deeper with Agrarobotics Premium.

Field-deployment playbooks, reference designs, and the private engineering notes — behind the paywall.

🔒 Members only

ESP32-P4 crop/weed reference design

Full BOM, the Rust inference pipeline, calibration procedure, solar/LoRa power budget, and the field-hardening checklist that took us three seasons to get right…

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Agrarobotics — agrarobotics.com

Bring intelligence to the field.

Field-hardened robotics on RISC-V + Rust + edge ML. Detect, visualize, react — where it grows.