2014 11-13 14-bootcamp f-inish-presentation v1
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FInish Accelerator Programme LEANCAMP FOOD & AGRIBUSINESS 20 NOVEMBER 2014, WAGENINGEN, NL STARTHUB WAGENINGEN /STARTLIFE
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2014 11-13 14-bootcamp f-inish-presentation v1
- 1. FInish Accelerator Programme LEANCAMP FOOD & AGRIBUSINESS 20 NOVEMBER 2014, WAGENINGEN, NL STARTHUB WAGENINGEN /STARTLIFE Cor Verdouw, Wageningen UR, NL
- 2. The Internet is changing the world
- 3. The Internet is also changing Food & Flowers chains Trends Internet of ThingsWireless Sensor Networks Augmented Reality Producer Associations / Cooperatives Traders Greenhouses / Farms Carriers Retail Customs Banks Insurances Authorities Consumers Social Media Privacy & Security Internet of Services Cloud Computing Linked Open Data, Big Data
- 4. Are you ready to wake up to a new Food & Flowers world?
- 5. Future Internet Public-Private Partnership Programme (www.fi-ppp.eu) European programme for Internet-enabled innovation
- 6. Future Internet PPP: Internet-enabled Innovation in Europe Technology Enablers Future Internet Apps Accelerator Projects Domain App Platform
- 7. FInish is one of the 16 FIWARE Accelerator projects http://www.fi-ware.org/accelerators/
- 8. Main objectives FInish Accelarator 1. Improve Business Collaboration in the Food & Flowers Chain 2. Boost the usage of the FIspace platform & FIWARE Enablers
- 9. FInish project • EC Funding: € 6,1 Million – € 4,88 Million (80%) to be distributed to App Developers • 8 partners from 6 countries • 19 supporting organisations with background either in ICT and/or end-user related business, including:
- 10. What’s in it for you? • Reduce your development efforts – by reusing FIWARE / FIspace tools • Benefit from features of other apps • Open new markets for your application • Minimise your financial risk by receiving funding –while remaining your Intellectual Property
- 11. Application Areas Food Intelligence Foodweb Connectivity Real-time Virtualisation
- 12. We do not predefine Apps!! We are asking for great ideas With business need/interest In the Food & Flower Chains domain
- 13. What and When? 2 Calls for App Development (2014 & 2015) approx. 50 projects – max. 150 kEUR funding open for SMEs / support of a Flowers / Food partner obliged 2 Competitions (2015 & 2016) Various prizes and trade fare event Hackathons (2015) Final Awards (2016)
- 15. What do you need? Good idea Business partner Motivation!
- 16. Our Support! Information Matchmaking Training
- 18. How to contact us? http://www.finish-project.eu finish-info@finish-project.eu
Editor's Notes
- http://youtu.be/p_R5ZVWMhzM
- FInish has distinguished three key functional areas of the apps to be developed for Intelligence and Information Sharing in Food Supply Chain Networks.: Real-time Virtualization: sensing of physical objects on different levels of aggregation (e.g. product, box, pallet, container, truck) and creating rich and globally accessible virtual representations of these geographically dispersed physical objects. Leveraging the FIspace platform and the underlying Generic Enablers (especially the IoT services enablers), apps in this category will add specific services and applications for perishable supply chain networks. Examples could be applications for advanced visioning (including high-speed/low-cost solutions, 3D, and internal features such as ripeness), for quality inspection of food and flowers based on (mobile) augmented reality, etc. Foodweb Connectivity: the timely, error free exchange and secure communication of information in highly dynamic supply chain networks to enable adequate response based on up-to-date and reliable virtual representations. This apps category will add specific apps for the food and flowers industry, such as applications for exchange of sector-specific master data (in particular product information) and mapping services for sector-specific standards (e.g. concerning food safety regulation and sustainability labels). Food Intelligence: usage of the virtualization data for intelligent decision support. This category is the main focus of the project and will provide functionalities for different levels of intelligence, including interaction, monitoring, problem notification, deviation management, planning and optimisation. Examples of food-specific intelligence functionalities are apps for early warning in case of food incidents or unexpected quality deviations (e.g. temperature or humidity changes), advanced forecasting about consequences of detected changes by the time the product reaches destination, e.g. dynamic simulation of best-before dates.