127 research outputs found

    Business Collaboration in Food Networks: Incremental Solution Development

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    The paper will present an approach for an incremental solution development that is based on the usage of the currently developed Internet based FIspace business collaboration platform. Key element is the clear segmentation of infrastructures that are either internal or external to the collaborating business entity in the food network. On the one hand, the approach enables to differentiate between specific centralised as well as decentralised ways for data storage and hosting of IT based functionalities. The selection of specific dataexchange protocols and data models is facilitated. On the other hand, the supported solution design and subsequent development is focusing on reusable “software Apps” that can be used on their own and are incorporating a clear added value for the business actors. It will be outlined on how to push the development and introduction of Apps that do not require basic changes of the existing infrastructure. The paper will present an example that is based on the development of a set of Apps for the exchange of product quality related information in food networks, specifically addressing fresh fruits and vegetables. It combines workflow support for data exchange from farm to retail as well as to provide quality feedback information to facilitate the business process improvement. Finally, the latest status of theFIspace platform development will be outlined. Key features and potential ways for real users and software developers in using the FIspace platform that is initiated by science and industry will be outlined

    Food Chain Innovation: Reviewing 35 Use Cases to Identify Business Model Success Patterns

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    A team of 8 organisations from Belgium, Germany, Hungary, Italy, The Netherlands and Turkey supported over 40 teams and preferably startups to realise food chain innovations. Over a period of 2 years, a programme was developed and realised to select and support teams from the ideation to the commercialisation phase. The teams were usually working in close collaboration with a business partner, were supported in the usage of reusable software components for Internet based solutions and got direct assistance to address potential customers especially in the area of fruit and vegetables.Embedded in a larger initiative with use cases from different business domains, a set of metrics was developed to assess the teams and solutions that were characterised by different maturity levels, size and market potentials. The objective was to rank the teams for being able to focus support on the best performing solutions. Subsequently, it was discussed, if there are potential success patterns that could help to assess team performance at an earlier stage and possibly facilitate the forecasting of potential investment risks at an earlier stage. Finally, the objective is to use those results for being able to analyse and technologically assist future use cases that are currently set-up in the scope of a Large Scale Pilot initiative. The objective is to use the results for facilitating future selection of food chain innovations that could complement the set of 19 use cases currently being developed

    Realising Future Internet Potentials for Food Chain SMEs: A Hierarchy of Needs

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    The EC funded FI‐PPP programme is currently elaborating a large set of enabling technologies that shall help to overcome challenges towards a sustainable networked society of tomorrow. This up‐front investment can highly facilitate access to such Internet potentials by food chain SMEs. Nevertheless, SMEs require a systematic support for being able to decide on which technological enablers are relevant at which moment of their business evolution. To characterise a decision reference, a hierarchy of needs of food chain SMEs is presented that can serve asbaseline when aiming at the usage of the FI‐PPP results in an SME environment

    Business Collaboration in Food Networks: Incremental Solution Development

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    The paper will present an approach for an incremental solution development that is based on the usage of the currently developed Internet based FIspace business collaboration platform. Key element is the clear segmentation of infrastructures that are either internal or external to the collaborating business entity in the food network. On the one hand, the approach enables to differentiate between specific centralised as well as decentralised ways for data storage and hosting of IT based functionalities. The selection of specific data exchange protocols and data models is facilitated. On the other hand, the supported solution design and subsequent development is focusing on reusable “software Apps” that can be used on their own and are incorporating a clear added value for the business actors.It will be outlined on how to push the development and introduction of Apps that do not require basic changes of the existing infrastructure. The paper will present an example that is based on the development of a set of Apps for the exchange of product quality related information in food networks, specifically addressing fresh fruits and vegetables. It combines workflow support for data exchange from farm to retail as well as to provide quality feedback information to facilitate the business process improvement. Finally, the latest status of the FIspace platform development will be outlined. Key features and potential ways for “real users and software developers” in using the FIspace platform that is initiated by science and industry will be outlined

    Accelerating System Development for the Food Chain: a Portfolio of over 30 Projects, Aiming at Impact and Growth

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    Supply of fresh food is of vital importance to feed Europe in a healthy way, while Europe has also an important role in feeding the world. Food products and other perishables such as flowers impose very challenging demands on the management of its supply chains. Food networks are struggling with an integrated usage of information and communication technology (ICT) that enables the heterogeneous stakeholders in the food chain to exchange information in real-time and control workflows based on requirements with respect to quality, costs and schedule. Innovative ICT systems that are addressing such challenges are currently being developed by a large European initiative, called FIWARE. Within this paper, we will discuss a portfolio of 31 projects that are realising solutions for the food chain in close collaboration with supporting business partners. Diverse food related topics are addressed, such as logistics, transport, planning & control, tracking & tracing, information management as well as new ways to realise e-commerce within the chain as well as for consumers.The FIWARE initiative is accelerating startups and supporting SME type technology developers that are realising solutions for real world business cases, which are serving as reference customers and test cases to assure an end-user acceptance and valid business models. This paper discusses the main food chain related topics and innovation potentials that are addressed as well as outlining the related methodological and technological approaches that are used to facilitate the realisation of impact and growth for commercial exploitation

    Accelerating System Development for the Food Chain: A Portfolio of over 30 Projects, Aiming at Impact and Growth

    Get PDF
    Supply of fresh food is of vital importance to feed Europe in a healthy way, while Europe has also an important role in feeding the world. Food products and other perishables such as flowers impose very challenging demands on the management of its supply chains. Food networks are struggling with an integrated usage of information and communication technology (ICT) that enables the heterogeneous stakeholders in the food chain to exchange information in real-time and control workflows based on requirements with respect to quality, costs and schedule. Innovative ICT systems that are addressing such challenges are currently being developed by a large European initiative, called FIWARE. Within this paper, we will discuss a portfolio of 31 projects that are realising solutions for the food chain in close collaboration with supporting business partners. Diverse food related topics are addressed, such as logistics, transport, planning and control, tracking and tracing, information management as well as new ways to realise e-commerce within the chain as well as for consumers.The FIWARE initiative is accelerating startups and supporting SME type technology developers that are realising solutions for real world business cases, which are serving as reference customers and test cases to assure an end-user acceptance and valid business models. This paper discusses the main food chain related topics and innovation potentials that are addressed as well as outlines the related methodological and technological approaches that are used to facilitate the realisation of impact and growth for commercial exploitation

    Systematic Heterogeneity: How to combine Smartphone related Apps with FIspace

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    FIspace represents an Internet based B2B collaboration platform that can be used by actors along the supply chain, and specifically the agri-food chain, facilitating the design and usage of inter-organisational workflows. The FIspace platform was developed by using FIWARE, a European initiative to develop technologies for a Future Internet. At the same time, the requirements of actors from an agri-food related B2B environment were analysed. One of the key requirements was the demand for smartphone-based apps that can be easily used by any actor at any time in the scope of a B2B relationship of different organisations. However, realising inter-organisational workflows with a combination of smartphones and a platform for B2B collaboration raises business related requirements that are specifically in relation to interoperability and security. Therefore, the architectural principles of FIspace supported ecosystems are presented and the concept of developing FIspace software applications is detailed. The latter provides domain specific features and enables a systematic usage of heterogeneous components in business related ecosystems. Furthermore, different development strategies for smartphone apps are analysed to discuss the related implications with respect to effort, costs and interoperability when aiming at a combination with a FIspace supported ecosystem. This is compared with the general principles to develop features within a FIspace ecosystem to systematically identify the implications when integrating heterogeneous software and hardware solutions. The purpose of this paper is to present those design principles that shall help to systematically analyse end-user requirements, which need to be taken into account when developing or designing changes and extensions of a FIspace supported business ecosystem with the help of smartphone apps. Therefore, the paper addresses specifically software developers intending to use FIspace as well as business architects intending to change or design an ICT supported collaborative ecosystem

    Systematic Heterogeneity:How to Combine Smartphone Related Apps with FIspace

    Get PDF
    FIspace represents an Internet based B2B collaboration platform that can be used by actors along the supply chain, and specifically the agri-food chain, facilitating the design and usage of inter-organisational workflows. The FIspace platform was developed by using FIWARE, a European initiative to develop technologies for a Future Internet. At the same time, the requirements of actors from an agri-food related B2B environment were analysed. One of the key requirements was the demand for smartphone-based apps that can be easily used by any actor at any time in the scope of a B2B relationship of different organisations. However, realising inter-organisational workflows with a combination of smartphones and a platform for B2B collaboration raises business related requirements that are specifically in relation to interoperability and security. Therefore, the architectural principles of FIspace supported ecosystems are presented and the concept of developing FIspace software applications is detailed. The latter provides domain specific features and enables a systematic usage of heterogeneous components in business related ecosystems. Furthermore, different development strategies for smartphone apps are analysed to discuss the related implications with respect to effort, costs and interoperability when aiming at a combination with a FIspace supported ecosystem. This is compared with the general principles to develop features within a FIspace ecosystem to systematically identify the implications when integrating heterogeneous software and hardware solutions. The purpose of this paper is to present those design principles that shall help to systematically analyse end-user requirements, which need to be taken into account when developing or designing changes and extensions of a FIspace supported business ecosystem with the help of smartphone apps. Therefore, the paper addresses specifically software developers intending to use FIspace as well as business architects intending to change or design an ICT supported collaborative ecosystem

    A Smart Decision System for Digital Farming

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    [EN] New technologies have the potential to transform agriculture and to reduce environmental impact through a green revolution. Internet of Things (IoT)-based application development platforms have the potential to run farm management tools capable of monitoring real-time events when integrated into interactive innovation models for fertirrigation. Their capabilities must extend to flexible reconfiguration of programmed actions. IoT platforms require complex smart decision-making systems based on data-analysis and data mining of big data sets. In this paper, the advantages are demonstrated of a powerful tool that applies real-time decisions from data such as variable rate irrigation, and selected parameters from field and weather conditions. The field parameters, the index vegetation (estimated using aerial images), and the irrigation events, such as flow level, pressure level, and wind speed, are periodically sampled. Data is processed in a decision-making system based on learning prediction rules in conjunction with the Drools rule engine. The multimedia platform can be remotely controlled, and offers a smart farming open data network with shared restriction levels for information exchange oriented to farmers, the fertilizer provider, and agricultural technicians that should provide the farmer with added value in the form of better decision making or more efficient exploitation operations and management.This paper has been partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by the "Ministerio de Ciencia, Innovacion y Universidades" through the "Ayudas para la adquisicion de equipamiento cientifico-tecnico, Subprograma estatal de infraestructuras de investigacion y equipamiento cientifico-tecnico (plan Estatal i+d+i 2017-2020)" (project EQC2018-004988-P).Cambra-Baseca, C.; Sendra, S.; Lloret, J.; TomĂĄs GironĂ©s, J. (2019). A Smart Decision System for Digital Farming. Agronomy. 9(5):1-19. https://doi.org/10.3390/agronomy9050216S11995Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. doi:10.1016/j.comnet.2010.05.010Chen, M., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19(2), 171-209. doi:10.1007/s11036-013-0489-0De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122-135. doi:10.1108/lr-06-2015-0061Haghverdi, A., Leib, B. G., Washington-Allen, R. A., Ayers, P. D., & Buschermohle, M. J. (2015). Perspectives on delineating management zones for variable rate irrigation. Computers and Electronics in Agriculture, 117, 154-167. doi:10.1016/j.compag.2015.06.019Vazquez, J. I., Ruiz-de-Garibay, J., Eguiluz, X., Doamo, I., Renteria, S., & Ayerbe, A. (2010). Communication architectures and experiences for web-connected physical Smart objects. 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops). doi:10.1109/percomw.2010.5470521Misra, S., Barthwal, R., & Obaidat, M. S. (2012). Community detection in an integrated Internet of Things and social network architecture. 2012 IEEE Global Communications Conference (GLOBECOM). doi:10.1109/glocom.2012.6503350Atzori, L., Iera, A., & Morabito, G. (2014). From «smart objects» to «social objects»: The next evolutionary step of the internet of things. IEEE Communications Magazine, 52(1), 97-105. doi:10.1109/mcom.2014.6710070Agrivi App http://www.agrivi.com/en/reApollo Project http://apollo-h2020.eu/Cambra, C., Sendra, S., Lloret, J., & Lacuesta, R. (2018). Smart System for Bicarbonate Control in Irrigation for Hydroponic Precision Farming. Sensors, 18(5), 1333. doi:10.3390/s18051333Ortiz, A. M., Hussein, D., Park, S., Han, S. N., & Crespi, N. (2014). The Cluster Between Internet of Things and Social Networks: Review and Research Challenges. IEEE Internet of Things Journal, 1(3), 206-215. doi:10.1109/jiot.2014.2318835Ji, Z., Ganchev, I., O’Droma, M., Zhao, L., & Zhang, X. (2014). A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation. Sensors, 14(12), 22372-22393. doi:10.3390/s141222372Ning, H., & Wang, Z. (2011). Future Internet of Things Architecture: Like Mankind Neural System or Social Organization Framework? IEEE Communications Letters, 15(4), 461-463. doi:10.1109/lcomm.2011.022411.11012

    Architecture framework of IoT-based food and farm systems: A multiple case study

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    The Internet of Things (IoT) is expected to be a real game changer in food and farming. However, an important challenge for large-scale uptake of IoT is to deal with the huge heterogeneity of this domain. This paper develops and applies an architecture framework for modelling IoT-based systems in the agriculture and food domain. The framework comprises a coherent set of architectural viewpoints and a guideline to use these viewpoints to model architectures of individual IoT-based systems. The framework is validated in a multiple case study of the European IoF2020 project, including different agricultural sub sectors, conventional and organic farming, early adopters and early majority farmers, and different supply chain roles. The framework provides a valuable help to model, in a timely, punctual and coherent way, the architecture of IoT-based systems of this diverse set of use cases. Moreover, it serves as a common language for aligning system architectures and enabling reuse of architectural knowledge among multiple autonomous IoT-based systems in agriculture and food
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