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Sensors, drones, weather satellites and robots are examples of technologies that make farming ‘smart’. In this article we present the results of our review of the literature that concerns the ethical challenges that smart farming raises. Our reading suggests that current ethical discussion about smart farming circles around three themes: (1) data ownership and access, (2) distribution of power and (3) impacts on human life and society. Discussions that fall under these themes have however not yet reached a satisfying conclusion, as there seem to be different ideas at work in the background regarding the purpose and function of digital farms in society. The pros and cons of these rivalling ideas are rarely foregrounded in the discussion. We suggest that future research should focus first on the content of these goals, especially on the content of societal and commercial goals and whether and how they can be combined in differing contexts. This will offer a lead to think about what data ought to be shared with whom, to set preconditions for trust between stakeholders and –eventually- develop appropriate guidelines and codes of conduct for future farming digitalization trajectories.
Simone van der Burg; Marc-Jeroen Bogaardt; Sjaak Wolfert. Ethics of smart farming: Current questions and directions for responsible innovation towards the future. NJAS - Wageningen Journal of Life Sciences 2019, 90-91, 100289 .
AMA StyleSimone van der Burg, Marc-Jeroen Bogaardt, Sjaak Wolfert. Ethics of smart farming: Current questions and directions for responsible innovation towards the future. NJAS - Wageningen Journal of Life Sciences. 2019; 90-91 ():100289.
Chicago/Turabian StyleSimone van der Burg; Marc-Jeroen Bogaardt; Sjaak Wolfert. 2019. "Ethics of smart farming: Current questions and directions for responsible innovation towards the future." NJAS - Wageningen Journal of Life Sciences 90-91, no. : 100289.
Sjaak Wolfert; Lan Ge; Cor Verdouw; Marc-Jeroen Bogaardt. Big Data in Smart Farming – A review. Agricultural Systems 2017, 153, 69 -80.
AMA StyleSjaak Wolfert, Lan Ge, Cor Verdouw, Marc-Jeroen Bogaardt. Big Data in Smart Farming – A review. Agricultural Systems. 2017; 153 ():69-80.
Chicago/Turabian StyleSjaak Wolfert; Lan Ge; Cor Verdouw; Marc-Jeroen Bogaardt. 2017. "Big Data in Smart Farming – A review." Agricultural Systems 153, no. : 69-80.
Smart farming is a management style that includes smart monitoring, planning and control of agricultural processes. This management style requires the use of a wide variety of software and hardware systems from multiple vendors. Adoption of smart farming is hampered because of a poor interoperability and data exchange between ICT components hindering integration. Software Ecosystems is a recent emerging concept in software engineering that addresses these integration challenges. Currently, several Software Ecosystems for farming are emerging. To guide and accelerate these developments, this paper provides a reference architecture for Farm Software Ecosystems. This reference architecture should be used to map, assess design and implement Farm Software Ecosystems. A key feature of this architecture is a particular configuration approach to connect ICT components developed by multiple vendors in a meaningful, feasible and coherent way. The reference architecture is evaluated by verification of the design with the requirements and by mapping two existing Farm Software Ecosystems using the Farm Software Ecosystem Reference Architecture. This mapping showed that the reference architecture provides insight into Farm Software Ecosystems as it can describe similarities and differences. A main conclusion is that the two existing Farm Software Ecosystems can improve configuration of different ICT components. Future research is needed to enhance configuration in Farm Software Ecosystems.
J.W. Kruize; J. Wolfert; H. Scholten; C.N. Verdouw; A. Kassahun; A.J.M. Beulens. A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture 2016, 125, 12 -28.
AMA StyleJ.W. Kruize, J. Wolfert, H. Scholten, C.N. Verdouw, A. Kassahun, A.J.M. Beulens. A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture. 2016; 125 ():12-28.
Chicago/Turabian StyleJ.W. Kruize; J. Wolfert; H. Scholten; C.N. Verdouw; A. Kassahun; A.J.M. Beulens. 2016. "A reference architecture for Farm Software Ecosystems." Computers and Electronics in Agriculture 125, no. : 12-28.
Logistics in the food and agribusiness industry must address perishable products, unpredictable supply variations and stringent food safety and sustainability requirements. The Internet of Things (IoT) could contribute significantly to solve these challenges because it allows for remotely controlling the location and conditions of shipments and products. This paper develops a reference architecture for IoT-based logistic information systems in agri-food supply chains. It proposes a hybrid solution that combines the IoT and cloud computing. The architecture supports the provision of affordable tailor-made solutions by utilising technology enablers of the European Future Internet programme and by facilitating the reuse of domain-specific functionalities.
C.N. Verdouw; R.M. Robbemond; T. Verwaart; J. Wolfert; A.J.M. Beulens. A reference architecture for IoT-based logistic information systems in agri-food supply chains. Enterprise Information Systems 2015, 12, 755 -779.
AMA StyleC.N. Verdouw, R.M. Robbemond, T. Verwaart, J. Wolfert, A.J.M. Beulens. A reference architecture for IoT-based logistic information systems in agri-food supply chains. Enterprise Information Systems. 2015; 12 (7):755-779.
Chicago/Turabian StyleC.N. Verdouw; R.M. Robbemond; T. Verwaart; J. Wolfert; A.J.M. Beulens. 2015. "A reference architecture for IoT-based logistic information systems in agri-food supply chains." Enterprise Information Systems 12, no. 7: 755-779.
C.N. Verdouw; R.M. Robbemond; J. Wolfert. ERP in agriculture: Lessons learned from the Dutch horticulture. Computers and Electronics in Agriculture 2015, 114, 125 -133.
AMA StyleC.N. Verdouw, R.M. Robbemond, J. Wolfert. ERP in agriculture: Lessons learned from the Dutch horticulture. Computers and Electronics in Agriculture. 2015; 114 ():125-133.
Chicago/Turabian StyleC.N. Verdouw; R.M. Robbemond; J. Wolfert. 2015. "ERP in agriculture: Lessons learned from the Dutch horticulture." Computers and Electronics in Agriculture 114, no. : 125-133.
Farm enterprises2 The objective of this paper is to describe a farm information model and a proof of concept that demonstrates how a collaborative Business Process for farming can be configured using this farm information model. Knowledge to develop this model and a proof of concept is obtained by case study research focusing on the collaborative Business Processes of spraying and crop protection of potatoes against late blight disease. need to collaborate with numerous actors that are part of Agri-Food Supply Chain Networks (AFSCNs) such as governments, advisory services, contractors, processors, input providers and certification bodies. This collaboration is required to produce food in a more sustainable, safe and transparent manner. To collaborate efficiently and effectively, information needs to be shared within collaborative Business Processes. The information sharing within such collaborative Business Processes should be supported by an ICT infrastructure consisting of interoperable ICT Components. Currently, most of the available ICT Components are not interoperable, hindering data exchange between ICT Components of various vendors. Consequently, this situation is hindering optimization of farm production processes and collaboration in AFSCNs. Therefore, a platform, called FIspace, is being established for multiple domains that support the development and configuration of interoperable ICT Components into a system that is able to support collaborative farm Business Processes. To develop interoperable ICT Components and configure these in an easy and flexible manner to support farm enterprises, a farm information model is, amongst other models, required.The presented farm information reference model is able to describe the relations between a farm enterprise and its collaborators, the Business Processes related to the supporting ICT Components and the data messages for data exchange between ICT Components.
Jan Willem Kruize; Daan Goense; Sjaak Wolfert; Cor N. Verdouw; Huub Scholten; Adrie J.M. Beulens. A Farm Information Model for Development and Configuration of Interoperable ICT Components to support Collaborative Business Processes – a case of late blight protection. 2015, 1 .
AMA StyleJan Willem Kruize, Daan Goense, Sjaak Wolfert, Cor N. Verdouw, Huub Scholten, Adrie J.M. Beulens. A Farm Information Model for Development and Configuration of Interoperable ICT Components to support Collaborative Business Processes – a case of late blight protection. . 2015; ():1.
Chicago/Turabian StyleJan Willem Kruize; Daan Goense; Sjaak Wolfert; Cor N. Verdouw; Huub Scholten; Adrie J.M. Beulens. 2015. "A Farm Information Model for Development and Configuration of Interoperable ICT Components to support Collaborative Business Processes – a case of late blight protection." , no. : 1.
Supply chains are being transformed into agile networks in response the increasing volatility of business environments. The dynamic nature of business collaboration in such networks imposes stringent demands on the enabling software systems. This paper proposes the application of a mass customization approach to meet the great demands on software systems for business collaboration in agile business networks. We first introduce the concept of mass customization and define requirements for software mass customization. Next, the paper presents a Future Internet platform - called FIspace - for business to business collaboration that is currently being developed within Europe's Future Internet Public-Private Partnership program (FI-PPP) and that aims to provide an environment for software mass customization for business collaboration in the agriculture, food and logistics sectors.
Cor Verdouw; Adrie Beulens; Sjaak Wolfert. Towards Software Mass Customization for Business Collaboration. 2014 Annual SRII Global Conference 2014, 106 -115.
AMA StyleCor Verdouw, Adrie Beulens, Sjaak Wolfert. Towards Software Mass Customization for Business Collaboration. 2014 Annual SRII Global Conference. 2014; ():106-115.
Chicago/Turabian StyleCor Verdouw; Adrie Beulens; Sjaak Wolfert. 2014. "Towards Software Mass Customization for Business Collaboration." 2014 Annual SRII Global Conference , no. : 106-115.
Krijn J. Poppe; Sjaak Wolfert; Cor Verdouw; Tim Verwaart. Information and Communication Technology as a Driver for Change in Agri-food Chains. EuroChoices 2013, 12, 60 -65.
AMA StyleKrijn J. Poppe, Sjaak Wolfert, Cor Verdouw, Tim Verwaart. Information and Communication Technology as a Driver for Change in Agri-food Chains. EuroChoices. 2013; 12 (1):60-65.
Chicago/Turabian StyleKrijn J. Poppe; Sjaak Wolfert; Cor Verdouw; Tim Verwaart. 2013. "Information and Communication Technology as a Driver for Change in Agri-food Chains." EuroChoices 12, no. 1: 60-65.
The Future Internet is expected to greatly influence how the food and agriculture sector is currently operating. In this paper, we present the specific characteristics of the agri-food sector focusing on how information management in this area will take place under a highly heterogeneous group of actors and services, based on the EU SmartAgriFood project. We also discuss how a new dynamic marketplace will be realized based on the adoption of a number of specialized software modules, called “Generic Enablers” that are currently developed in the context of the EU FI-WARE project. Thus, the paper presents the overall vision for data integration along the supply chain as well as the development and federation of Future Internet services that are expected to revolutionize the agriculture sector
Alexandros Kaloxylos; J. Wolfert; Tim Verwaart; Carlos Maestre Terol; Christopher Brewster; Robbert Robbemond; Harald Sundmaker. The Use of Future Internet Technologies in the Agriculture and Food Sectors: Integrating the Supply Chain. Procedia Technology 2013, 8, 51 -60.
AMA StyleAlexandros Kaloxylos, J. Wolfert, Tim Verwaart, Carlos Maestre Terol, Christopher Brewster, Robbert Robbemond, Harald Sundmaker. The Use of Future Internet Technologies in the Agriculture and Food Sectors: Integrating the Supply Chain. Procedia Technology. 2013; 8 ():51-60.
Chicago/Turabian StyleAlexandros Kaloxylos; J. Wolfert; Tim Verwaart; Carlos Maestre Terol; Christopher Brewster; Robbert Robbemond; Harald Sundmaker. 2013. "The Use of Future Internet Technologies in the Agriculture and Food Sectors: Integrating the Supply Chain." Procedia Technology 8, no. : 51-60.
Agile Information Systems for Mastering Supply Chain Uncertainty | InTechOpen, Published on: 2011-08-29. Authors: C.N. Verdouw, A.J.M. Beulens, T. Verwaart, et
C.N. Verdouw; Adrie J M Beulens; Tim Verwaart; T. Verwaart And J. Wolfert. Agile Information Systems for Mastering Supply Chain Uncertainty. Supply Chain Management - New Perspectives 2011, 1 .
AMA StyleC.N. Verdouw, Adrie J M Beulens, Tim Verwaart, T. Verwaart And J. Wolfert. Agile Information Systems for Mastering Supply Chain Uncertainty. Supply Chain Management - New Perspectives. 2011; ():1.
Chicago/Turabian StyleC.N. Verdouw; Adrie J M Beulens; Tim Verwaart; T. Verwaart And J. Wolfert. 2011. "Agile Information Systems for Mastering Supply Chain Uncertainty." Supply Chain Management - New Perspectives , no. : 1.
Agri-food enterprises operate in a complex and dynamic environment. To meet increasing demands of consumers, government and business partners, enterprises continuously have to work on innovations of products, processes and ways of cooperation in agri-food supply chain networks (AFSCN). Hence, a development towards a more knowledge-based economy is needed. The Lisbon strategy, launched by the European Union, to attain this knowledge-based economy, has failed so far. This paper argues that information sharing and organizing ICT are main critical areas to overcome this deadlock. However, ICT development in AFSCN involves an information integration task that has to deal with technical and organizational requirements and starts with an existing installed base. Traditional software engineering approaches are inadequate to address these issues. This paper provides an overall method for analysis, design and implementation of information integration, taking technical as well as organizational development into account. The method was derived from experiences in a research and development program in the Dutch arable farming sector. A generic integration framework forms the backbone of the method to ensure systematic and sustainable ICT development. Business process management (BPM), in combination with reference information models, plays an important role. The technical architecture and infrastructure are based on a service-oriented architecture (SOA). Attention is paid to the organizational infrastructure that is needed to embed the results in the right context, so that they will be broadly supported and used. The method is divided into three phases: analysis, basic design and iterative implementation. Analysis of the current situation in AFSCN is supported by an information integration framework. The basic design is a first version of the generic integration framework. In the iterative implementation phase, pilot projects are guided by this basic design, which results in incremental growth of the framework. The pilot projects follow a Living Lab (LL) approach. LLs represent a user-centric, open innovation approach for sensing, prototyping, validating and refining complex solutions in multiple and evolving real life contexts. The method is illustrated by an application to the Dutch arable farming sector. It can be concluded that the contribution of the presented method lies in combining different methodologies into a design approach for information integration, based on a sound architecture. The presented method leads to ICT that follows the business processes in real life and thus enhances appropriate information sharing to support a knowledge-based economy.
J. Wolfert; C.N. Verdouw; C.M. Verloop; A.J.M. Beulens. Organizing information integration in agri-food—A method based on a service-oriented architecture and living lab approach. Computers and Electronics in Agriculture 2010, 70, 389 -405.
AMA StyleJ. Wolfert, C.N. Verdouw, C.M. Verloop, A.J.M. Beulens. Organizing information integration in agri-food—A method based on a service-oriented architecture and living lab approach. Computers and Electronics in Agriculture. 2010; 70 (2):389-405.
Chicago/Turabian StyleJ. Wolfert; C.N. Verdouw; C.M. Verloop; A.J.M. Beulens. 2010. "Organizing information integration in agri-food—A method based on a service-oriented architecture and living lab approach." Computers and Electronics in Agriculture 70, no. 2: 389-405.