farm-ng develops reliable tools that enhance data collection and accelerate time to in-field deployment


Amiga Developer Unit

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Mobile Base Specs


GROUND CLEARANCE 24.1 in, 61.2 cm
BASE WEIGHT 250 lbs, 113 kg
POWER Dual Li-Ion Batteries, 2-4 Hour Charge
MAX SPEED 5.5 mph, 9.1 km/h
PAYLOAD 1000 lbs for 8 Hours on Flat Ground
DRIVETRAIN 4x4 Skid-Steer, 500 Watt Motors
WIRELESS CONTROL Long Range Radio, Wifi Web Frontend
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I/Os


CAN0 (primary system bus)
CAN1 (secondary branches)
4 x 44v/48v H-Bridge controllers
4 x active low digital inputs for bump and limit switches, per control box
4 x 24v <3amp high side low switches per control box
Daisy Chain Power Distribution
44v Battery, 24v Regulated (200W)
Active e-Stop I/O
2 Batteries Input per Control Box

Sensors


RTK High Precision GNSS Module
AMIGA SDK OAK D stereo vision with Active Illumination
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Brain


COMPUTE Xavier NX (16G, 1CAN, 1 USB, 1 Ethernet exposed)
IP 65 Enclosure
AMIGA SDK Publish/subscribe API
Sensor fusion
DNN
Record/replay
Foxglove visualization
C/C++ API
Python API
ECOSYSTEM ROS2
UWebsocket frontend

Modules

Data Collection

Amiga’s embedded computer Jetson NX and the Oak PoE camera makes geo-tagged data collection efficient and precise.


Data is accessible through a custom app or APIs to integrate functionality into other applications.

Visualization

A powerful data visualization for multiple types of debug data.


Using our API and a couple of lines of code, visualize data from your components, and choose the appropriate display.

Data Analysis & Machine Learning

On-board AI computer enables inference and model training.


Supported neural networks include person and object detection, segmentation, and classification among others.


Featured Community Apps

Amiggie

Human picker assitant for crop harvesting and streamlining the unloading process.


DigDoug

Buried sensor system for soil monitoring across multi-acre farms to improve soil health.


Robo-Ag

Targeted pesticide application for garbanzo bean farms, reducing chemical waste & labor costs.


Maize Runner

Measure corn stalk stiffness and records data for analysis.


TartanPest

Find and remove Spotted Lanternfly Egg masses using deep learning and a robotic arm.


Huskerbot

Weed-detection and spot-spraying, reducing herbicide use and increasing productivity.


“The Amiga Developer Unit enabled us to launch a nationwide university challenge to translate research breakthroughs into real world farming advances.”

Dr. Joshua Viers, PhD. | ASSOCIATE DEAN OF ENGINEERING, UC MERCED

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