AgReFed @ Dale

AgReFed

Advances in farm technology have led to an increase in the collection of data by growers, agronomists, researchers and industry, with the potential to conduct advanced analysis techniques for better prediction. However, these data are not always findable, accessible or interoperable, and therefore not able to be easily integrated and reused. This leads to precious time lost in data cleaning and manipulation, or in worst case scenarios, poor science outcomes due to relevant data being ignored.

The AgReFed (Agricultural Research Federation) project was initiated by $800,000 funding from the Australian Research Data Commons, and over $600,000 investment from partners, and will provide the framework to assist in overcoming these data access issues.

The AgReFed will enable the integration of biological and yield data with time-series environmental data, sensor data, hyperspectral imagery data, and spatial data, through the implementation of data exchange and metadata standards, controlled vocabularies, and services over the data.

An Innovative Approach

This project is differentiated from other data initiatives by its primary focus on agriculture, its federated system architecture, the diverse sources of data, and in particular its social architecture. This will ensure the benefits are achievable, as each participant is being supported to make their data FAIR (findable, accessible, interoperable and reusable) in a way that suits and serves them as well as the community, rather than being asked to conform to a single solution. The ability for participants and other stakeholders to be able to (interoperably) serve and consume data from the other participants to enhance agricultural research efforts will be the ultimate measure of success.

Dale Site Data

The data backing this website is fully accessible via the OpenAPI Specification (OAS). You can view and download data now using our own page here. Or you can inspect and edit the specification in the offsite Swagger editor.

To see how one might access the data see this notebook. Or download the actual Jupyter notebook.