Gamba Grass is considered a high risk weed threatening native vegetation and causing unnecessary work to remove. Gamba grass is best removed by pulling them out from the root and disposing them.
GG ez, is an application developed to solve this issue. The application focuses on a community driven solution. With the help of open datasets in conjunction with machine learning to predict the most vulnerable areas where Gamba grass will be the most rampant.
A user will use the GG ez mobile web application to report any Gamba grass infestations. A user can also use the map functionality to identify areas that need help to eradicate the grass.
Users who choose to treat infested areas by removing them and disposing them at a waste management facility can be rewarded with government incentives based on the weight of gamba grass removed. By combining our applications with government incentives we strongly believe this solution will reduce the amount of Gamba grass in the NT.
The application will also offer forecasts on where Gamba grass will be the most likely rampant. By combining these datasets we can create a machine learning model which will help with these forecasts.
With a community focued approach, we utilise the resources of the public whilst contributing to the control of Gamba grass
Using multiple open sources means that we do not have to heavily rely on data collection and will not have to collect data from scratch. This will save us lots of time and resources
By combining the various datasets and any new data collected, we will be able to create a machine learning model to predict high impact areas.
A user first identifies a Gamba grass infestation that they have come across. A user can also find infested areas on the map provided by our data and other user data.
A user who has identified a new infestation can report it in our application, or a user can find infested areas and take care of them.
A user of takes care of the infested area can get rewarded by taking the Gamba grass load to the local tip, where it will be weighed and they will get paid for it.
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