120 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Commonwealth Scientific and Industrial Research OrganisationAU11 papers
- Data61AU6 papers
- The University of QueenslandAU5 papers
- Queensland University of TechnologyAU3 papers
- Australian National UniversityAU2 papers
- International Centre for Radio Astronomy ResearchAU2 papers
- The University of Western AustraliaAU2 papers
- Aalto UniversityFI1 paper
- AGH University of KrakowPL1 paper
- Animal, Food and Health SciencesAU1 paper
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU1 paper
- Arvalis - Institut du VégétalFR1 paper
5 papers · 1 filter
Empirical Upscaling of Point-scale Soil Moisture Measurements for Spatial Evaluation of Model Simulations and Satellite Retrievals
Yi Yu, Brendan P. Malone, Luigi J. Renzullo
The evaluation of modelled or satellite-derived soil moisture (SM) estimates is usually dependent on comparisons against in-situ SM measurements. However, the inherent mismatch in…
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
Yuji Saikai, Allan Peake, Karine Chenu
Deep reinforcement learning has considerable potential to improve irrigation scheduling in many cropping systems by applying adaptive amounts of water based on various measurements…
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Reza Arablouei, Liang Wang, Caitlin Phillips +3
We explore the use of knowledge distillation (KD) for learning compact and accurate models that enable classification of animal behavior from accelerometry data on wearable devices…
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew Hellicar +2
We present a decision support system for managing water quality in prawn ponds. The system uses various sources of data and deep learning models in a novel way to provide 24-hour f…
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…