The biennial International Conference for Research Infrastructures (ICRI 2022) was held in Brno, Czech Republic, from 19th to 21st October. ICRI 2022 was a fantastic event involving 450 participants, almost [...]
In August 2022, representatives from the ANU Canberra node of the Australian Plant Phenomics Facility visited the Quebec City headquarters of Medicago R&D Inc. The Canadian biopharmaceutical company is collaborating [...]
Traditional PhD training in crop science is getting an overhaul with the establishment of the new ARC Training Centre for Future Crops Development. The Centre will train a new generation [...]
As part of NAIDOC Week 2022, Australia's national research infrastructure recognised Indigenous knowledge and research. APPF is proud to be contributing its skills and resources to research based on First [...]
Researchers at the University of Adelaide, working alongside scientists from the UK, Italy, Germany and the USA, have successfully identified a gene that controls the growth pattern of roots in [...]
The Australian Plant Phenomics Facility (APPF) is welcoming applications for its Postgraduate Student Internship Awards. The Awards, which cover up to $10,000 worth of access to APPF phenomics infrastructure plus [...]
X-Ray Computed Tomography (CT) scanners have become essential equipment for human health research and diagnosis in hospitals around the world. Now, scientists at The Plant Accelerator®, University of Adelaide node [...]
phenoMobile®, the mobile field phenotyping platform developed at the High Resolution Plant Phenomics Centre (HRPPC), APPF’s CSIRO Canberra Node, has arrived in South Australia for use by University of Adelaide [...]
Researchers at the Australian National University Plant Phenomics Facility, a Canberra-based Node of the Australian Plant Phenomics Facility, have used sophisticated phenotyping technology to identify Eucalyptus seedlings that will provide [...]
Last month, Canadian biopharmaceutical company Medicago R&D Inc., the APPF and the Centre for Entrepreneurial Agri-Technology (CEAT) at ANU successfully completed the first phase of a five-year research collaboration to [...]
The Australian Plant Phenomics Facility (APPF) is very pleased to be a supporter of the newly announced Training Centre for Accelerated Future Crop Development. Announced by the Federal Minister for [...]
One of our favourite customers is back at The Plant Accelerator. Dr Rhiannon Schilling has used the APPF’s facilities on many occasions and knows how useful they are. In her [...]
A new research collaboration aims to develop new methods and tools to non-invasively monitor the growth and performance of plants used in the production of Virus-Like Particles (VLPs). In doing [...]
A cross-NCRIS collaboration between the Australian Plant Phenomics Facility (APPF) and Bioplatforms Australia (BPA) has been successful in securing investment worth $400k over two years from the Australian Research Data [...]
Wheat plays a major role in food security across the globe and demand is ever increasing. However, wheat is only moderately tolerant to salinity, a major constraint in Australia where [...]
Traditional videogame design tools may well have potential for use in agriculture and landscape simulation to better plan and predict crop yields, while promoting regenerative agriculture. A collaboration between the APPF’s [...]
A chlorophyll meter courtesy of APPF found its way to Sabah in Malaysian Borneo where Hannah Carle, a PhD student at ANU, used it to measure chlorophyll content - among [...]
The Australian Plant Phenomics Facility (APPF) is pleased to be working alongside other research infrastructure providers and research organisations to develop the Australian Scalable Drone Cloud (ASDC), supported by the [...]
The next round of Postgraduate Internship Awards at the Australian Plant Phenomics Facility (APPF) are now open Applications close – 15 April 2020 (Round 1) and 30 November 2020 (Round [...]
A research team from CSIRO Data61 and the Australian Plant Phenomics Facility (APPF) have derived a method for obtaining D-optimal designs for temporal data by proposing incorporating the curvature (or [...]
