Messages to take
CSIRO projects in
A Phenonet OpenIoT for Smart Farming
“In the next 50 years,
we will need to produce as
much food as we have ever
produced in the entire human history.”
Objective - Increase crop yield by performing:
Sensor-based monitoring of plants, soil and env.
Data analysis for interactive assessment of crop
Crop selection based on expected conditions,
irrigation, and fertilization
Where Is This “Big Data” Coming From ?
of tweet data
25+ TBs of
30 billion RFID tags
(1.3B in 2005)
76 million smart
meters in 2009…
200M by 2014
The large Hadron Collider at CERN
produces so much data that scientists
must discard most of it, hoping they
haven’t thrown away anything useful.
• Weather prediction combines data
from multiple earth satellites with
massive computing power.
• Most of the satellites belong to the
U.S., but the Europeans have a
more powerful computer.
• Our weather satellites are old.
Harry E. Pence 2013
Questions to Think About
• Is cloud elastic enough to accommodate
massive amounts of data coming from
myriads of things ?
• Is cloud architecture the most efficient
for analytics over IoT data ?
• Are you confident that all the IoT data
you ship to the cloud ever be used ?
• How would you know whether you can
get value out of your data if someone
else wants to use/repurpose/share it ?
• What is your business model for IoT
data value-add ?
Presentation title | Presenter name8 |
Linked DataCloud Computing
Internet of Things
287305 Objective: ICT-
Contact Person: Dr. Martin
Serrano DERI NUI
Galway IDA Business
Park Lower Dangan, Galway,
EC Contribution 2,455,000.00
Project Start Date: 01 Dec
Open Source Cloud Solution for the Internet of Things
OpenIoT providing a cloud-based middleware infrastructure
in order to deliver on-demand access to IoT services, which
could be formulated over multiple infrastructure providers.
(such as smart cities and smart enterprises)
Knowledge-Based Future Internet
Infrastructure’s provider(s) (e.g., Smart City)
OpenIoT User (Citizen, Corporate)
Domain #1 Domain #N
OpenIoT General Vision
Overview of (Supported) OpenIoT Capabilities
Deployment IoT Service
What can I do with
IoT will be adopted en-masse
when we build and provide tools
for user-driven development &
deployment of IoT services and
OpenIoT – Use Cases
at Sensap, Athens, Greece
Smart Campus at KIT,
Smart City at UNIZ,
/Healthcare at AL, Malta
Phenonet at CSIRO,
CSIRO Things – Sensors, cameras, nanosensors on the
ground, ocean, autonomous vehicles & airships
Phenonet: Example with Soil Moisture Sensor
• Gypsum Block Soil Moisture Sensors,
• Canberra region
• Soil moisture tension
• Experiment is to evaluate the effect of
sheep grazing on crop re-growth by
looking at root activity, water use, crop
growth rate and crop yield
Continental scale tracking of Flying Foxes
Near-perpetual position, activity, and condition tracking across
Learn mobility patterns of individuals and uses low power on-board
sensors for energy-efficient GPS sampling
Flying Fox camps
Base station 1 Base station 2 Base station n
Cattle Sensor Networks
Sensorize the farm to improve productivity and feed efficiency
Deploy unobtrusive sensors and actuators on and inside livestock
and in the farm environment
Measure position, context, food intake, and behavior of farm
animals and correlate these with environmental factors
Bio-tags for Oyster, Mollusc and Salmon
Measuring heart rate, feeding and temperature revolutionizes
our understanding of the physiology of the animals.
Linked with environmental data in real time to provide feedback
on how animals are reacting to their environment
Dr Arkady Zaslavsky, Professor
Senior Principal Research Scientist
Thank you !