High precision farm management system.
NOTE: This is a side project, progress is slow.
Help feed 10 billion people by 2050.
- Expensive proprietary hardware and software in machines.
- Complicated unintuitive interfaces.
- Seeding, spraying, harvesting inefficiencies.
- Aging farming expertise.
- Fully autonomous tractors are kinda expensive.
- Some farms here in Australia are bigger than entire countries, mate.
- High precision farming at the smallest possible cost.
- Intuitive and simple as possible.
- Versatile, work on anything.
- Primarily developed for RasberyPi, or other cheap hardware.
- Ad-hoc peer-to-peer communication.
- Plug and play hardware, easily put in any machine.
- Angular 6 / Node.js / Electron
- Python for data acquisition
- Raspberry Pi or other cheap SBC
- Combination WiFi Mesh and cellular
Version 2
Version 2
See TODO / wiki / project board for specific project goals
- Plug and play displays
- Simple clean interface
- Basic positioning
- Heatmap of spray area
- Live positioning of multiple devices
- High precision positioning
- Mapping activities, seeding, harvesting, spraying.
- Machine messaging
- Timing of tasks
- Machine interfacing
- Vision systems
- Navigation
- Machine health and diagnostics
- Self driving autonomous machines
- Individual plant health recognition vision system
- Machine learning optimization of routes
- End-to-end crop cycle management
- Backend written in python for data acquisition
- Frontend developed in Angular 6 / Node.js
- Compiled into electron for standalone portability
- Considering google firebase platform
- Serve live position and other real-time data to simple .json http GET
- Mapbox mapping
- Primary buttons and info overlayed ontop of map
- Consideration for multiple GPS receivers, on spray booms and whatever.
- Plug and play add on hardware such as additional sensors / IO / stereo output / additional screens / whatever