College of Science & Engineering
Sophia Love
- Doctor of Philosophy (Natural and Physical Sciences)
- sophie.love@jcu.edu.au
Elle Robertson
- Doctor of Philosophy (Agriculture, Environmental and Related Studies)
- elle.robertson@jcu.edu.au
Romain Vaucher
- Senior Lecturer, Sedimentology
- romain.vaucher@jcu.edu.au
Jenny Fisher
- Associate Dean, Learning and Teaching
- jenny.fisher@jcu.edu.au
Ambili Narayanan
- Doctor of Philosophy (Natural and Physical Sciences)
- ambili.narayanan@my.jcu.edu.au
Sarfaraz Ali
- Postdoctoral Research Fellow
- sarfaraz.ali@jcu.edu.au
Mikaeylah Davidson
- Postdoctoral Research Fellow
- mikaeylah.davidson@jcu.edu.au
Liuxin Chen
- Adjunct Lecturer
- liuxin.chen@jcu.edu.au
Rafael Cabral Carvalho
- Lecturer, Marine Geoscience
- rafael.cabralcarvalho@jcu.edu.au
Tom Lloyd
- Postdoctoral Research Fellow, Global Ecosystems
- tom.lloyd@jcu.edu.au
Light Field Video Compression and Streaming (Old ID 23155)
Recent advances in light field (LF) photography open a new horizon for digital video streaming, where the single-shot LF capture and glasses-free 3D display capabilities are perfect for a wide range of 3D interactive applications. This proposal aims to propose an interactive 3D VR streaming system based upon the state-of-the-art LF video compression and transmission technology. The proposed new framework and novel algorithms will be able to efficiently compress the enormous amounts of LF-based VR video data, ensure the quality of the views of interest, and achieve low-latency and error-resilient 3D video transmission.
Council improving the water quality of the Great Barrier Reef through the use of smart sensors and the IoT for urban water management (Old ID 23533)
The primary aim of this grant application is to bring smart city technology into urban water management to improve urban water quality discharging to the Great Barrier Reef by: 1). Developing IOT technology to manage large data sets obtained from existing smart meters and water quality monitoring probes to make effective management decisions; and 2) Supporting the development of new cost effective, real time water quality monitoring technology. This grant application is for purchase of commercially available water quality monitoring probes suitable for a tropical urban stormwater environment, for supporting the development of new real time monitoring technology for nutrients; for the development of data analysis tools using IOT technology for both smart meter water consumption data, sewer pump station overflow data and stormwater water quality data so that the data is available in real time and can be used for effective decision making.
Climate Smart Sugarcane Irrigation Partnerships (CSSIP) (Old ID 24754)
CSSIP will minimise nutrient runoff, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. Currently, best practice irrigation is assisted by an Irrigation Decision Support Tool (IDST) that provides evidence-based advice. However, IDSTs have not reached their full potential. Firstly, they do not integrate short to medium term weather forecasts (e.g. weekly to multi-weekly forecasts). Secondly, IDSTs do not operate at a spatial scale relevant to farmers. CSSIP will incorporate the Bureau or Meteorology’s new high-resolution climate model into the Irrigation Decision Support Tool. Thirdly, IDSTs require substantial time in manual data entry, which can be alleviated using real-time monitoring via Internet of Things technologies. This will increase irrigation efficiency, reducing excessive runoff into river systems and onto the Reef, and, will help farmers save water and energy costs.
Elizabeth and Middleton Reefs Shallow Reef Monitoring 2018 (Old ID 24815)
The purpose of this contract is to survey shallow reef environments within the Elizabeth and Middleton reef national Marine Park, to assess the status and trends of reef environments and reef-associated organisms. Surveys will be conducted using methods established during prior surveys, undertaken at Elizabeth and Middleton Reefs in March 2011 and arch 2014.
A one health approach to establish surveillance strategies for Japanese encephalitis and zoonotic arboviruses in Papua New Guinea (Old ID 26565)
The project aim is to establish surveillance for JEV and other zoonotic arboviruses that affect the rural population of PNG. The major objectives are to: 1. Evaluate current detection methods to detect zoonotic arboviruses in the field and laboratory, and build capacity where gaps are identified. 2. Establish surveillance at selected sites using sentinel animal (pigs, chickens) and mosquito trapping 3. Develop linkages and coordination between human and animal health agencies. The primary outputs are to develop surveillance activities that contribute to early warning for public health and provide a better understanding of the ecological drivers of arboviruses in PNG.
Queensland threatened species listing. (Old ID 27253)
Humane Society International (HSi) is a charity that works towards “an ecologically sustainable and humane world for all animals”. This includes ensuring that threatened species are nominated to be listed under legislation. An opportunity has arisen for HSI to work with the Queensland Government to list a number of reptile species that are in dire need of conservation recognition. These are reptiles that I am an expert on, so they have contacted me to provide funding to me to help them write the nominations. I would use this funding to employ a recently graduated JCU PhD student to draft these nominations for me to then check and submit with HSI. Any left-over funding would be used for research on these threatened species. This is a ‘for the greater good’ project that I’d like to help out with.
Investigating combined stressors in bees: insecticides and thermal stress (Old ID 27283)
Insecticide use poses a risk to non-target insects including bees. The effects of these compounds is all the more worrying given that honey bees prefer nectar containing traces of the naturally derived insecticide class – the neonicotinoids. This project will expand upon previous bodies of work to investigate the preference of stingless bee species Tetragonula hockingsi when provided with the choice between an insecticide laced food source and a sucrose solution. This project will also explore the combined effects of insecticide exposure and increasing temperature on bees.
Pre-outbreak monitoring of the density, distribution and size-structure of crown-of-thorns starfish (CoTS) in the Great Barrier Reef (Old ID 27501)
This project will conduct annual field surveys (diver-based and eDNA) across reefs in the primary outbreak initiation region to reveal how the density, distribution and size-structure of COTS populations changes, providing field data to inform early warning and response in the lead up to the 2025 outbreak.
Assessment of fisher livelihoods and swim bladder trade in the Fly River, Papua New Guinea. (Old ID 27562)
Conduct interview surveys with local fishers to gather information about use, values, and trade within the swim bladder fishery in the Fly River. Establish conservation efforts for sawfish through introduction of the Piku Biodiversity Network to Fly River communities.
AI-Powered Precision Farming: Mapping, Detection, Planning, and Spot Spraying (Old ID 31107)
High-tech solutions in agriculture offer many benefits for improved crop and land management. However, current methods rely heavily on human experts for monitoring and planning. To address this, we propose a state-of-the-art AI-based spraying strategy software that: • takes aerial images of the farm/land vegetation (using drones, planes, satellites, etc.) and detects field requirements, • generates a pre-spray map on GIS systems, considering the existing terrain topographies, • optimally plans the detailed spraying strategy and suggests one or a combination of proper spraying methods such as blanket, vehicular spot, or aerial spraying, and • whenever possible, effectively commands and controls appropriate devices to spray, such as drones, vehicles, people, etc. It might also receive feedback and correspondingly optimize the process/plan. This AI-Powered system helps farmers and producers precisely spray, saving costs and the environment.
Organic matter, sodicity and soil structure
- 1998
- Oxford University Press
- Researchers:Paul Nelson
Start Date:
01 Jan 2024
Start Date:
01 Jan 2024
Start Date:
01 Jan 2023
Start Date:
01 Jan 2018
Start Date:
01 Jan 2010
End Date:
01 Jan 2016
Start Date:
01 Jan 2006
End Date:
01 Jan 2010
Start Date:
01 Jan 2016
End Date:
01 Jan 2018
Start Date:
01 Jan 2024
Start Date:
01 Jan 2018
Start Date:
01 Jan 2011