National Machine Learning Service
Exploreabout National Machine Learning Service
Agricultural research data in Australia is currently difficult to find and share. Publicly available datasets, such as remote sensed vegetation data, and compute facilities are also not easily accessible by all researchers.
The AgReFed Platform project will improve the discoverability of trusted, reusable and analysis-ready agricultural research data across Australia, supporting collaboration and novel insights in research, development and policy.
It will do this through analysis of key use cases to establish the needs of the community, and the subsequent expansion and enhancement of the current AgReFed Platform.
The project involves the following elements:
Researchers across disciplines who use a number of agricultural online services, local and federal government, research organisations and farmers’ organisations will benefit from the project’s core features:
Our partners are:
AgReFed enables researchers to search and discover trusted, reusable agriculture-related datasets, workflows and models. This will facilitate data reuse and cross-discipline collaborations for novel research insights and practical applications in policy, reporting and on-ground decision making.
Visit the AgReFed platform.