The Aquaculture Decision Support system developed as part of the Sense-T program, was launched in February this year to assist the industry minimise riskand optimise quality and production. It brings together a number of different data sources including historic, bureau weather data and real-time data on water quality from sensors into a single web interface. This data is backed up by research to model and predict shifts in environmental conditions.AquaDS delivers concrete benefits for multiple users – government, industry, consumers and the community.The purpose of this session is to update you on what we have developed, explain the research website you can look at and encourage your feedback.
What is Sense-T and what is it all about?Sense-T is in essence a big data project based in Tasmania. We’re bringing together different data sources to create a digital view of the entire State. This includes historical and spatial data, as well as real-time data from sensor networks.We won’t have to re-create data sets every time we have a new question to ask or problem to solve. The data can be used by many people for multiple purposes. Data can be interrogated and combined with research to create new models or refine existing approaches.We’re working with experts from CSIRO, IBM and ABS to build the cloud-based knowledge infrastructure. This includes how we maintain privacy, manage data provenance and develop the APIs.Data is coming from: BOM; Government Departments, like the Department of Primary Industries, Parks, Water and Environment; Energy companies; New and existing sensor networksThis data will be available to researchers, business, government and the community to help create, test and develop ideas, to make better decisions and ideally, to do more with less.
How it actually works - turning data into knowledge to drive action Sense-T is federating existing sensor networks throughout Tasmania. We will capture environmental data from sensors owned by government departments, the Bureau of Meteorology, energy and water utilities and individual businesses.We can also feed in historical and spatial data sets. The more data, the richer the resource.This information is drawn into a cloud-based platform. Then we publish Application Programming Interfaces, that allow people to access the data.They can conduct analysis and create models, which form the basis of apps.This is how you convert data into knowledge to drive action.
The AquaDS project is one of 4 demonstration projects being run by Sense-T.Agriculture in Dairy and Beef in the North West, Viticulture and an adaptive water management project based in the Ringarooma catchmentWhat this means is, that in the future data collected on vineyards can be accessed by oyster farmers downstream to help predict water conditions and make better business decisionsWe’re creating I’ll hand over to John now to explain in details the AquaDS system.
The Problem/OpportunityThe industry identified four key priorities for action:Improved monitoring of water quality and environment conditions in the estuariesThe ability to provide early warning on likely closuresBetter understand oyster health to improve qualityProvide a simple and user-friendly system that can deliver all the relevant data and information inone place and accessed by farmers ‘on the go’
The solutionFirst deliverable was for TSQAP to support harvesting closure decisions.- deployment of new sensors across Tasmania and integration of a range of data sets.- automates data collection from a number of sensor networks, gathering real-time information about rainfall, river flow, temperature and salinity. provides an overview of every oyster lease in Tasmania, overlaying geographical, historical and real-time sensor data. TSQAP no longer has to collect and analyse the available data every time it needs to make a decision. It makes the process more efficient. 2. Advanced system to predict- real productivity uplift is from the use of machine learning and predictive modelling which allows the regulator to shut only when absolutely necessary but to predict to industry when this is going to happen. Even 48 hours can make a huge economic difference allowing farmers to get product to market before shut downs.BOM weather prediction models are critical to this as is the work done by CSIRO in digitising the 20+ years of historical records of regulator decisions. 3. BiosensorsThe work of CSIRO physiologists on reading oysters’ reactions to environmental changes, by monitoring their heartbeats is well advanced. The AquaDS system is being enhanced with this oyster health information being transmitted in real-time and integrated with the data and forecasts on environmental conditions.
Biosensors
Research quality nodeDifferent form our previous “cheap node” which suffered robustness issuesIn house built – off the shelf components – we are not precious about design ($1500) there is a PC in there running linux – if you can plug it into a laptop you can plug it into this.We will be putting temperature, salinity, dissolved oxygen, pH, chlorophyll a, phycoerythrin, turbidityOystagBut it is readily interfaceable – already have a test setup to grab still images from an underwater CameraTurn it on and we have data in the sensor cloud.
DomainHow can we use ICT technology to improve sustainability and production of aquaculture.now on what we have done decision support wise for TSQAP
TSQAP daily routine...Wouldn’t it be good if all the data was in the sensor cloud and all we had to do was to write a little web app to pull the relevant data out and display it.Well yes we can!
Home
Encouraging you to try it and give feedback:We’d encourage you to take an information pack on the AquaDS, log-in and have a play.We’d love your feedback too – so please use the email address or give us a call to discuss what worked, what didn’t or what else you’d like to see.We will be working with local ICT providers to develop an enhanced interface and the ability to deliver the information through a mobile device.