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CeBIT-Australia-2016-akardy-zaslavsky-internet-of-things-smart-farming-behind-the-scenes

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- Tackling the big three challenges: Big data, interoperability and IoT standards
- Horizontal integration of IoT platforms, and its use in precision agriculture

Published in: Technology
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CeBIT-Australia-2016-akardy-zaslavsky-internet-of-things-smart-farming-behind-the-scenes

  1. 1. www.data61.csiro.au IoT-enabled Smart Farming Arkady Zaslavsky • Data61 CeBIT, 4 May, 2016 ©A.Zaslavsky
  2. 2. Outline  IoT  Messages to take away  OpenIoT platform  Phenonet pilot  CSIRO projects in agriculture edriel.com
  3. 3. 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. conditions  Data analysis for interactive assessment of crop performance  Crop selection based on expected conditions, irrigation, and fertilization
  4. 4. based on standard & interoperable communication protocols A dynamic global network infrastructure with self configuring capabilities are seamlessly integrated into the information network. virtual personalities, use intelligent interfaces, and where physical & virtual “things” have identities, physical attributes, Internet of Things IoT
  5. 5. Where Is This “Big Data” Coming From ? 12+ TBs of tweet data every day 25+ TBs of log data every day ?TBsof dataevery day 2+ billion people on the Web by end 2011 30 billion RFID tags today (1.3B in 2005) 4.6 billion camera phones world wide 100s of millions of GPS enabled devices sold annually 76 million smart meters in 2009… 200M by 2014
  6. 6. 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. http://tinyurl.com/cvpz5qe Harry E. Pence 2013 17 miles
  7. 7. 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 |
  8. 8. Current Approaches/Models • Where we are
  9. 9. Emerging Fog-based Approach • Where we need to move
  10. 10. Discovery of data, context, semantics on the IoT – driven paradigm shift
  11. 11. OpenIoT Platform
  12. 12. Open Source Linked DataCloud Computing Internet of Things OpenIoT Factsheet Contract No.: 287305 Objective: ICT- 2011.1.3 Internet-connected Objects Coordinator: NUIG-DERI, Galway, Ireland Contact Person: Dr. Martin Serrano DERI NUI Galway IDA Business Park Lower Dangan, Galway, Ireland EC Contribution 2,455,000.00 Euro Project Start Date: 01 Dec 2011 Duration: 36 months Open Source Cloud Solution for the Internet of Things Management Data Privacy and Security Sensor Mobility http:www.openiot.eu
  13. 13. 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 Step 2: Sensor/Cloud Formulation Step 1: Sensing-as-a-Service Request Step 3: Service Provisioning (Utility Metrics) Infrastructure’s provider(s) (e.g., Smart City) OpenIoT User (Citizen, Corporate) Domain #1 Domain #N OpenIoT General Vision
  14. 14. Overview of (Supported) OpenIoT Capabilities IoT Platform Architecture & Capabilities Sensor/ICO Deployment & Registration Dynamic Sensor/ICO Discovery Visual IoT Service Definition & Deployment IoT Service Visualization (via Mashups) Resource Management and Optimization What can I do with OpenIoT? IoT will be adopted en-masse when we build and provide tools for user-driven development & deployment of IoT services and applications
  15. 15. High Level Architecture
  16. 16. OpenIoT IDE DiscoverMonitor Define Configure Present Present Present Authenticate
  17. 17. OpenIoT – Use Cases www.youtube.com/OpenIoT Intelligent Manufacturing at Sensap, Athens, Greece Smart Campus at KIT, Karlsruhe, Germany Smart City at UNIZ, Zagreb, Croatia Assisted Living /Healthcare at AL, Malta Phenonet at CSIRO, Australia
  18. 18. CSIRO Things – Sensors, cameras, nanosensors on the ground, ocean, autonomous vehicles & airships
  19. 19. Phenonet: Example with Soil Moisture Sensor • Gypsum Block Soil Moisture Sensors, GBHeavy100 • 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
  20. 20. Phenonet: Soil Moisture Sensors @ work
  21. 21. Wildlife Monitoring Continental scale tracking of Flying Foxes Near-perpetual position, activity, and condition tracking across Australia Learn mobility patterns of individuals and uses low power on-board sensors for energy-efficient GPS sampling Flying Fox camps Camazotz device Base station 1 Base station 2 Base station n Server
  22. 22. 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
  23. 23. Aquaculture 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
  24. 24. www.data61.csiro.au Dr Arkady Zaslavsky, Professor Senior Principal Research Scientist Email: arkady.zaslavsky@csiro.au Thank you !

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