SuperCattle

Project Info

The Lone Alpaca thumbnail

Team Members


Tom

Project Description


Measure growth of vegetation using computer vision for farmers to work out where to move their cattle.


Data Story


The data used was images from google to train the computer vision as well as 'Farm physical characteristics: Beef' to get cattle station size and location which was crucial for defining the project.


Evidence of Work

Video

Project Image

Team DataSets

Farm physical characteristics: Beef

Description of Use To get an overview of the Australian Beef industry as well as the size and location of Australian Beef farms.

Data Set

Challenge Entries

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.

The digital future of agriculture

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

Eligibility: Must use at least one open dataset.

Go to Challenge | 16 teams have entered this challenge.