From small things better things grow

Project Info

DI/CER Dream Team thumbnail

Team Name


DI/CER Dream Team


Team Members


Vin , Ehsan , Priya , Lily and 2 other members with unpublished profiles.

Project Description


The agriculture industry has always been synonymous with Australia — from beef, wool and dairy exports, to crop production ensuring Australians always have food on the table. Agribusinesses display a formidable amount of resilience through challenges, including during recent bushfires, floods and pandemics. In fact, Australian farmgate production during the last financial year is expected to reach a record $66.3 billion. However, future viability of the sector depends on its ability to embrace innovation, technology and change, particularly attracting young talent. Open data and Internet of Things (IoT) provides the opportunity to leverage near-real-time data and insights to empower current and future farmers to make informed and timely decisions on how to grow, manage and sustain farm production while protecting the environment. This hack demonstrates a possible solution to securing the future of agriculture, youth education and employment, and the planet we all share, an app targeting pre-university audiences using data from agriculture IoT as a STEM teaching tool to upskill Australia’s future agricultural workforce and improve agribusiness efficiency.


#agribusiness #clean future #sustainability #youth #employment #education #skills #climate #stem

Data Story


CSIRO’s Data 61 report The Future of Australia’s Agricultural Workforce identified future opportunities for governments, agricultural stakeholders and communities to facilitate the transition to Australia’s future workforce, including: placing a greater emphasis on equipping students with relevant skills and knowledge at every stage of education; and establishing open data initiatives. It noted the next generation of farmers is shrinking due to the migration of youth to major cities. Data from the Department of Industry, Science, Energy and Resources (DISER) showed only a small number of graduates are taking up employment in agriculture, but science, technology, engineering and mathematics (STEM) related occupations are growing significantly faster. The Department of Agriculture, Water and the Environment (DAWE) data further emphasised more work needs to be done to ensure workers have the necessary STEM skills to accommodate a digital agriculture future, but non-formal education methods may be more productive. Global reports highlighted key barriers to sustainable agriculture, including access to aggregate data and costs.


Evidence of Work

Video

Homepage

Project Image

Team DataSets

Snapshot of Australia’s Agricultural Workforce

Description of Use Understanding Australia’s current agricultural workforce.

Data Set

Youth in STEM Research 2019/2020 - Department of Industry, Innovation and Science Summary of Results

Description of Use STEM is at the forefront of driving innovation and meeting future job requirements. This datasets helps provide understanding of the level of interest among STEM subjects and careers.

Data Set

Graduate occupation and industry outcomes

Description of Use To understand the number of recent graduates taking up employment in agriculture.

Data Set

Challenge Entries

The digital future of agriculture

How might we use data and digital technology to make agriculture more sustainable, more ethical, and more efficient?

Go to Challenge | 16 teams have entered this challenge.

IoT insights for better regional agribusiness at scale

How might we harness open data and IoT insights in near-real-time to enable local agribusiness and farms in our regions be more productive and sustainable at scale? How can we share private IoT data and regional open data for an overall more productive and sustainable agribusiness?

Go to Challenge | 13 teams have entered this challenge.

Youth education and employment

How might we use publicly available data to identify education and employment opportunities for our youth?

Go to Challenge | 25 teams have entered this challenge.