Weed Decision Support Simulator for Cotton Farmers
This extreme data simulation has been designed for an initial context (Cotton Farm) to support specific decisions associated with a contextual activity (weed management)
The project consists of
- control panels for setting the farmers priorities, potential weather conditions and crop timeline.
- visual feedback panel of the health and growth of the cotton field and time of day.
- feedback panel displays diagrammatic feedback of resulting options with a breakdown of data influencing these results.
The tool uses graphical representations of the components of the decision problem and allows the user to consider different scenarios by adjusting their priorities and the assignment of probabilities. This is then combined with an animated representation of the scenarios that can help triggering positive cognitive experiences.
This project is an example of the interactive modeling systems can be designed for people to experiment with the consequences of events and decisions within certain systems and ecologies. These modelling systems are often presented as playful interfaces but have smart underlying systems and complex algorithms to present data, situations, choices, people, places and things in a way that is interactive and attractive but also challenging and transformative.
This work is part of a folio of data simulation works starting with SCAPE 2005, FarmIt Right 2008, ECOS 2013 and Future Fruit 2016.
Deb Polson, Ryan Quagliata and Wade Taylor
Kate Devitt and Tristan Perez, Institute for Future Environments QUT
David Thornby, Innokas Intellectual Services.
Co-Authored Conference Article – https://eprints.qut.edu.au/110232/