Project Homepage:

Data collections can be seen on:!/class=collection/p=1/group=Desert%20Ecology%20Research%20Group/

Software is available at:

Software categories:

Sensor Networks

Fields(e.g. applications for archaeologists or for researchers who collect survey data.)

Project Members:

Dr Willem Vervoort (Project Sponsor,

Neal Anderson (Project Manager,

ANDS Contact:

Alan Glixman (

Project Status:


Agriculture and Environment Data Manager

The University of Sydney

Collaborator(s): Intersect Australia Ltd

Project Description:

The Faculty of Agriculture has five projects focusing on data capture. A standards-based interoperable body of data is proposed, covering data from sensors on soil, water and rain, greenhouse gas and carbon data, and weather. The aim was to develop generic and extensible tools integrating appropriate standards across the projects.
• Soil moisture, soil and air temperature, radiation, 3D wind speed and directions, CO2, water vapour, weather and tree water use data, greenhouse gas emissions from soils
• GPS-referenced data on wheat and barley crop inputs and performance
• Soil data from sensing system for monitoring of agro-ecosystems for sustainable landscape
• Soil data and spatial prediction functions for soil variables
• Data from farm-based private rain gauges.

The project developed and implemented a modular toolkit serving the cluster, resulting in a set of tools that can integrate this existing data for example "Rstudio", which can be used to incorporate new data from different instruments, and has the potential to extend to different disciplines.

In each case data and metadata will be captured from instruments or sensors. Tools were developed to enable the addition of descriptive metadata conforming to properties and vocabularies specified by international standards such as those managed by the FAO (see

The Desert Ecology Research Group (DERG) has 13 remote weather stations in the Simpson Desert. Tools for the agriculture weather data will be extended to support the DERG data.

The application also reduces the risk and impact of the common problem of accidental loss of data by machine fault or if data is stored on portable storage and is not backed up.

High Level Software Functionality:

The software enables researchers from the Faculty of Agriculture and DERG and other Biological Sciences research fields to conveniently store, manage, and advertise research data from a central and secure repository. The data capture process in this application are a combination of automated feeds and are manually dependant on the data type and researcher’s requirements.

In addition, the “Rstudio” analysis software integrated into the DC2D application enables the creation of new research collections by way of “deriving” subsets of data from existing larger collections allowing specialisation. This also allows the importation, maintenance, and creation of active databases on secure storage facilitates that can also be accessed in the field.