farm-ng develops reliable tools that enhance data collection and accelerate time to in-field deployment
Amiga Developer Unit
Mobile Base Specs
|24.1 in, 61.2 cm
|250 lbs, 113 kg
|Dual Li-Ion Batteries, 2-4 Hour Charge
|5.5 mph, 9.1 km/h
|1000 lbs for 8 Hours on Flat Ground
|4x4 Skid-Steer, 500 Watt Motors
|Long Range Radio, Wifi Web Frontend
|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
|High Precision GNSS Module
|OAK D stereo vision with Active Illumination
|Xavier NX (16G, 1CAN, 1 USB, 1 Ethernet exposed)
|IP 65 Enclosure
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.
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
Human picker assitant for crop harvesting and streamlining the unloading process.
Buried sensor system for soil monitoring across multi-acre farms to improve soil health.
Targeted pesticide application for garbanzo bean farms, reducing chemical waste & labor costs.
Measure corn stalk stiffness and records data for analysis.
Find and remove Spotted Lanternfly Egg masses using deep learning and a robotic arm.
Weed-detection and spot-spraying, reducing herbicide use and increasing productivity.