Optimise energy and water resource planning
Optimise energy and water resource planning
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 32 teams have entered this challenge.
ARIVS
Next Crops is a cloud based native Android app developed by team ARVIS. It helps farmers in Australia to make big decision on the next generation crops to grow on their farm land. We have crafted a cloud application that untilise a bunch of data sets such as Agriculture Victoria Soils API, Irrigation system allocations, SALI soil chemistry API, SALI land suitability API and Annual rainfall, SILO climate API. Infused with Google Vision AI, machine learning model, our solution is able to give farmers the knowledge to better understand the soil of their land, what to grow to achieve the balance among ecological environment, water usage and land sustainability. The AI algorithm used to judge the growing crops are that if the corps are suitable for growing on the soil composition, the impact on the soil of the fertiliser used on the crops, the average water quantity required, if there is any irrigation system available or just use the rain fall.
Description of Use The climate data helps to decide which crops to grow in certain land areas
Description of Use The soil chemistry data helps to select the crops to grow on the land
Description of Use The land suitability data helps to decide if crops are suitable to grow on the land
Description of Use The irrigation system allocations data helps to decide the crops to grow on the land where irrigation systems are around.
Description of Use The location based groundwater and surface water data is feed into our machine learning as one of the judging criteria to help select crops that require water
Description of Use The surface water quantity data is feed into our machine learning as one of the judging criteria to help select crops that require water
Description of Use The annual rainfall data is feed into our machine learning as one of the judging criteria to help select crops that require water
Description of Use The location based soil data is used to help the farmer to choose the best crops to grow on their farm land.
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 32 teams have entered this challenge.
Eligibility: We suggest you consider using the Queensland Government open datasets on https://data.qld.gov.au/
Go to Challenge | 22 teams have entered this challenge.
Eligibility: Australia Only
Go to Challenge | 26 teams have entered this challenge.
Eligibility: The use of any dataset featured on data.vic, myvictoria.vic.gov.au or data accessed through developer.vic.gov.au. Entries that cross reference Victorian government data with other sources will score highly.
Go to Challenge | 13 teams have entered this challenge.
Eligibility: Your solution to this challenge should access at least one Queensland Open Data API. You can mix and match this with other API’s or data
Go to Challenge | 39 teams have entered this challenge.
Eligibility: The use of the Agriculture Victoria Soils API on developer.vic.gov.au
Go to Challenge | 5 teams have entered this challenge.