Congratulations to Pieter Hendriks, winner of the APPF's 2021 Postgraduate Internship Award (PIA). Pieter will work with the APPF's ANU Node to look at the impact of above-ground vigour in [...]
In Precision Agriculture real-time action and decisions based on accurate information of time and location a pest occurs is essential. Using computer vision and machine learning technologies Huajian Liu, Research [...]
An in-depth study of how mixed pastures respond to nutrient limitation was undertaken by Dr Kirsten Ball using the APPF’s high throughput, image-based phenotyping (HTP) facility at The Plant Accelerator [...]
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 [...]
A study by Research Fellow Dr Huajian Liu at APPF's The Plant Accelerator has highlighted the challenges and considerations when using different hyperspec sensors for nitrogen prediction. The accurate and [...]
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 FieldExplorer, a new ground-based field phenotyping platform, has arrived at The Plant Accelerator, the Australian Plant Phenomics Facility’s (APPF) node at the University of Adelaide’s Waite Campus, bringing new [...]
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 [...]
Scientists have developed a computed tomography (CT) scanning method for screening large samples of wheat for drought and heat tolerance. They believe the new system will allow more accurate and [...]
An Invitation to Australian Plant Scientists The APPF invites expressions of interest from plant scientists wishing to undertake pilot projects using the new field phenotyping system during the 2020 growing [...]
Brooke Bruning at the hyperspectral plant imaging station located at the end of a conveyer belt that moves potted wheat plants through The Plant Accelerator®, Australian Plant Phenomics Facility. [...]
The next round of Postgraduate Internship Awards at the Australian Plant Phenomics Facility (APPF) are now open Applications close – 30 November 2019 This is an exciting opportunity to be [...]
The Australian Plant Phenomics Facility is partnering with fellow NCRIS-enabled infrastructure TERN to significantly upgrade TERN's nation-wide network of time-lapse cameras that monitor the timing of vegetation development, including flowering, [...]
Exciting research is carried out every day by users of the APPF’s technology and facilities. Here we share another inspirational story…. Professor John Evans of the Australian National University. [...]
Exciting research is carried out every day by users of the APPF’s technology and facilities. Here we share another inspirational story…. Researchers at The Australian National University (ANU) have shown [...]
Dr Huajian Liu, from the APPF’s Adelaide node, has developed a one-class support vector machine classifier combined with a pre-processing method named ‘hyper-hue’ to segment green plant pixels in hyperspectral [...]
