Digital Twins in Farm Management
11 likes4,231 views
The document discusses the concept of digital twins in farm management, emphasizing their role as virtual counterparts to physical objects that enhance real-time monitoring and operational control. It highlights applications developed through Fiware accelerators, promoting advancements in technologies for agriculture, including pest detection and fleet monitoring. Key challenges for the future include achieving effective real-time synchronization and integration of digital twins in farming practices.
Digital Twins in Farm Management
- 1. Digital Twins in Farm Management With illustrations from FIWARE Accelerators SmartAgriFood and Fractals Cor Verdouw, Jan Willem Kruize, Sjaak Wolfert, Grigoris Chatzikostas 11th International European Forum (Igls-Forum) (161st EAAE Seminar) on System Dynamics and Innovation in Food Networks, February 13-17, 2017, Innsbruck-Igls, Austria
- 2. Internet of Things in Farm Management 2 Internet of Things
- 3. Digital Twins: • virtual, digital equivalents to physical objects • real-time and remotely connected • rich representations of the objects and its context Digital Twins in the Internet of Things 3 Physical Object Digital Twin ERP Systems Intelligence Services Mash-up Apps Graphical/ Geo Services Supply Chain Systems Ambient Sensors Mobile devices INTERNET
- 4. Remote Control of Farm Operations Digital Twins remove fundamental constraints concerning: ● PLACE ● TIME ● HUMAN OBSERVATION Decoupling physical and information flows of operations Better sensing and monitoring of production Better understanding of specific farming conditions 4 C U S T O M E R SFarm Processes Control S U P P L I E R S Virtualized Farm Management Digital Twins Physical Objects More sophisticated and remote control of farm operations
- 5. Control systems based on Digital Twins 5 Digital Twins Physical Objects Dis- criminator Decision- maker Measure- ments Departures NormsControl Model SensorEffector Inter- ventions Virtual Views Virtual Interventions Added richness Data Acquisition Business Processes External Data Source: Verdouw, C.N., Beulens, A.J.M., Reijers, H.A., Vorst, J.G.A.J.v.d., 2015. A Control Model for Object Virtualization in Supply Chain Management. Computers in Industry 68, 116–131.
- 6. High-level information architecture 6 Data Platform Digital Twins device layer virtualization layer application layer Source Produce Deliver Farm Inputs Farm Resources Farm Outputs Information Handling Problem Notification Decision Making network layer
- 7. Smart Agri-Food & Fractals FIWARE: set of public and royalty-free technology components that ease the development of Smart Applications in multiple sectors (Generic Enablers) FIWARE Accelerator Programme: aims at promoting the take-up of FIWARE technologies ● 80M€ to support SMEs and entrepreneurs who will develop innovative applications based on FIWARE ● 19 Accelerator Projects, 2014-2016 Smart Agri-Food: supported 50 companies in phase 1 and selected 17 in phase 2 Fractals: 44 apps (focus Balkans, South East Europe) 7
- 8. Agriculture number 1 in the FIWARE Accelerator programme! 8Source: FI-Impact, 2015 D2.3 Ex Ante Impact Assessment and Forecast
- 9. Illustrative cases Smart Agri-Food & Fractals 9 Case Accelerator Topic Objects Dairy Monitor (Connecterra, NL) Smart AgriFood Heat detection, health analysis and location services Dairy cattle Open PD (Espiral Pixel, PT) Smart AgriFood Identification of plant pests and diseases Crops INSYLO (Ubikwa Systems, SP) Smart AgriFood Stock monitoring of feed silos of livestock farms and optimization of the replenishment Feed Silos FarmTelemetry (Lesprojekt, CZ) Fractals Fleet management, tracking machinery and energy monitoring Farm equipment OLIFLY (HarphaSea, SI) Fractals Monitoring of olive fly occurrence and expanding Olive trees BeeZon (GR) Fractals Apiary monitoring to identify diseases, pest infection, pesticide exposure and toxicity Bee colonies
- 10. Dairy Monitor (Connecterra, NL) 10
- 11. Open PD (Espiral Pixel, Portugal) 11
- 12. INSYLO (Ubikwa Systems, Spain) 12
- 16. Conclusions Digital Twins enable farmers and other stakeholders to act immediately in case of (expected) deviations Digital Twins are already used in innovative internet- based applications Challenges ahead include: ● Digital twins of lower granularity levels ● Timely and reliable synchronisation with real objects ● Integration and interoperability ● Affordable solutions, especially for SMEs ● (Near) real-time optimization, simulation and decision support based on Digital Twins ● Autonomous, self-adaptive Digital Twins 16
- 17. Many thanks for your attention! Recommended reading: • Sundmaeker, H., Verdouw, C., SjaakWolfert, Freire, L.P., 2016. Internet of Food and Farm 2020, In: Vermesan, O., Friess, Peter (Ed.), Digitising the Industry River Publishers, pp. 129-150. • Verdouw, C., Wolfert, S., Tekinerdogan, B., 2016. Internet of Things in agriculture. CAB Reviews 11, 35, 1-11. • Verdouw, C.N., Beulens, A.J.M., Reijers, H.A., Vorst, J.G.A.J.v.d., 2015. A Control Model for Object Virtualization in Supply Chain Management. Computers in Industry 68, 116–131. • Verdouw, C.N., Wolfert, J., Beulens, A.J.M., Rialland, A., 2016. Virtualization of food supply chains with the Internet of Things. Journal of Food Engineering in press. 17 Cor.Verdouw@wur.nl
Editor's Notes
- #2: https://www.service-drone.com/en/applications/agriculture
- #3: Farming is high-tech nowadays: IoT connects these devices to the Internet, every object can be remotely accessed, monitored and controlled (Internet of Things). An important concept behind IoT is that every object is accompanied by a digital, virtual counterpart: in other words a Digital Twin. So instead of observation on-site such a Digital Twin is the basis of managing farm operations.
- #4: So: a digital twin is .... As such it combines information of a lot of different sources, serves as a central hub of object information.
- #5: Digital Twins has a large impact in farm management since it removes fundamental constraints concerning place (remote control), human obeservation (also data from sensors that go beyond human senses. As such Digital Twins decouple can also include data on the object’s history and predictios of its future. Allows for better ..... How can it be implented? High-level architecture....
- #7: Very short: 4 layers, starting with device layer including sensors, AutoID and actuators, etc. OK, so far the general concepts, let’s have a look at some cases from the SAF and Fractals projects!
- #8: SAF and Fractals were part of the FIWARE Accelerator Programme. Etc. We selected 6 cases,
- #9: Source!