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Internet of Food and Farm 2020

Deliverables

Hosting environment and IoF2020 Lab

Development and provision of an experimental infrastructure serving experi¬mentation and validation in the pilots. Full commercial type usage goes beyond this deliverable itself, but it prepares the baseline to even extend the required SLA and commercial procurement by individual use case related users. (Leader: FF, M30; O, PU)

Enhancement and Configurations of Open Platforms and Reusable Components

Enhancement and Configurations of Open Platforms and Reusable Components: Additions to existing components required by the IoF2020 use cases, while aiming at the realisation of modules that are also applicable for future usage. Usage is generally public, while source code availability depends on the underlying model of the existing module, preferably open source (Leader: FF, M30; O, PU)

Literature review

Literature review

Progress Report on Synergy Analysis, Decisions and Coordination of Work

All use cases are analysed for synergetic developments and decisions by the PIB will be facilitated. Related synergies and decisions will be documented and communicated in the scope of this deliverable. (Leader: WR, M18 & 30, R, PU)

Opportunities and Barriers in the present regulatory situation for system development

The deliverable will compile all the use case related opportunities and barriers to facilitate and trigger collaboration and synergies between use cases and as input for collaboration with external stakeholders (Leader: FF, M14, R, PU)

Policy Recommendations

Policy Recommendations: At mid-term in the project, compilation of key policy requirements that are aiming at a regulatory influence towards the post project exploitation phase, for enabling different stakeholder groups to take full advantage of the IoF2020 validation and demonstration results. (Leader: GS1, M24, R, PU)

Data Management Plan

D1.4.1: Data Management Plan: Document describing how data will be managed in the pilot, including guidelines for data management in IoT. (Leader: DLO, M6, R, PU)

Methodology to assess market outlook and social impact for each use case (M6):

D4.2 Methodology to assess market outlook and social impact for each use case (M6): This deliverable identifies and characterises key market trends and social-economic development and develops a methodology for business impact assessment and social impact assessment. (Leader: DLO, M6, R, PU)

Scale-Up Demonstration Report

D2.5.1: Scale-Up Demonstration Report: The Report will describe all implemented demonstration activities envisaged in T2.5, informational/promotional material used, tools used to collect feedback, and present the collected feedback and analysis thereof. The report will be published two times during the course of the project, to capture the distinct phases of the demonstration activities. (Leader: BIOS, M33, M48, R, PU)

Taxonomy of business models relevant to IoT applications

This deliverable characterises the key components of business models relevant to IoT applications and sets out principles for developing business models for specific use cases. (Leader: WR, M12, R, PU)

The IoF2020 Use Case Architectures and overview of the related IoT Systems

D3.1.2 The IoF2020 Use Case Architectures and overview of the related IoT Systems: Compilation of reusable IoT system components that could be relevant to the agri-food domain and specifically to IoF2020 use cases. (Leader: ISMB, M9 & 18, R, P)

Cards for the interactive session

his deliverable is based on the interviews planned in task 3.

Open Call Realisation

D3.6.1 : The technology related realisation of the open call will be supported in T3.6 and related announcement prepared that are based on the technological requirements of the use cases. (Leader: ATB, M24, R, PU)

KPI Catalogue for each use case (M6):

This deliverable lists all KPIs and variables measured regarding its business impact and shows the value network characteristics of each use case. This might be a valuable source for other companies in this field to assess their performance and enhance the understanding of market potentials. (Leader: WR, M6, R, PU)

Guidelines for Use Case Analysis & Design

D3.1.1 Guidelines for Use Case Analysis & Design: Approach and reference architecture to be applied for the analysis, design and conception of IoT based solutions in WP2. It is based on past partners’ activities in IoT initiatives and specifically w.r.t. FIWARE and Open IoT platforms. (Leader: ISMB, M9, R, PU)

IoF2020 Reference Catalogue for the reuse of Open Platforms

Type of catalogue or an extension to existing resources like the FIWARE catalogue or the IoT open platforms initiative. (Leader: UNPARRALLEL, M24, DEC, PU)

Project website

D5.2 Project website (S&P, M6, DEC, PU)

Project Identity

D5.1 : logo, style book, communication formats (S&P, M4, DEC, PU)

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Publications

IOF2020: Fostering business and software ecosystems for large-scale uptake of IoT in food and farming, in: Nelson, W. (Ed.), The International Tri-Conference for Precision Agriculture in 2017

Author(s): Verdouw, C.N., Wolfert, S., Beers, G., Sundmaeker, H., Chatzikostas, G.,
Published in: PA17 - The International Tri-Conference for Precision Agriculture in 2017 - Hamilton, New Zealand, 2017, Page(s) 7
DOI: 10.5281/zenodo.1002903

IoF2020 - the Internet Of Meat: towards applications of Internet of Things in the meat supply chain.

Author(s): Maselyne, Jarissa; Mertens, Kristof; Van Nuffel, Annelies; Scholten, Huub; Athanasiadis, Ioannis; Larrañaga, Mikel; Fernández, Izaskun.
Published in: Papers presented at the 8th European Conference on Precision Livestock Farming, Issue 8, 2017

Integration of IoT (Internet of Things) and standard sensing

Author(s): V. Verrastro,,L. Tarricone, G. Masi, M. Todorovic, C. Ranieri, G. Dragonetti, M. Tamanti, S. Romanazzi, E. E. Riezzo, M. Fina, G. C. Di Renzo.
Published in: 2018, Page(s) 8

Guidelines for governance of data sharing in agri-food networks, in: Nelson, W. (Ed.), The International Tri-Conference for Precision Agriculture in 2017

Author(s): Wolfert, S., Bogaardt, M.J., Ge, L., Soma, K., Verdouw, C.N.,
Published in: 2017, Page(s) 11
DOI: 10.5281/zenodo.893700

Field trial to demonstrate the intelligent dairy assistant (IDA) system on dairy farms

Author(s): Rutten, C.J.; Molenaar, N.; Hogewerf, P.; Gosliga, Van, S.P.; Lokhorst, C.
Published in: 9th European Conference on Precision Livestock Farming, ECPLF 2019 - Cork, Ireland, Issue 1, 2019, Page(s) 277-283

Collective Action in Farm Data Management

Author(s): Krijn Poppe, Jos Verstegen and Sjaak Wolfert
Published in: 2018

International Agriculture Congress And International For Food And Agriculture

Author(s): Sjaak Wolfert
Published in: 2018

Towards Animal Welfare in Poultry Farms through Semantic Technologies




Smartomizer – Proactivity and Traceability in Orchard Spray

Author(s): Lars T. Berger Pulverizadores Fede S.L ; Emilio Gil; Paula Ortega
Published in: 2019

Aligning business processes and IT of multiple collaborating organisations

Author(s): Ayalew Kassahun
Published in: 2017
DOI: 10.18174/414988

Improving automatic climate control with decision support techniques to minimize disease effects in greenhouse tomatoes

Author(s): Joaquín Cañadas, Jorge Antonio Sánchez-Molina, Francisco Rodríguez, Isabel María del Águila
Published in: Information Processing in Agriculture, Issue 4/1, 2017, Page(s) 50-63, ISSN 2214-3173
DOI: 10.1016/j.inpa.2016.12.002

Big Data in Smart Farming – A review

Author(s): Sjaak Wolfert, Lan Ge, Cor Verdouw, Marc-Jeroen Bogaardt
Published in: Agricultural Systems, Issue 153, 2017, Page(s) 69-80, ISSN 0308-521X
DOI: 10.1016/j.agsy.2017.01.023

Internet of Things in agriculture.

Author(s): C Verdouw
Published in: CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, Issue 11/035, 2016, ISSN 1749-8848
DOI: 10.1079/PAVSNNR201611035

Development and test verification of air temperature model for Chinese solar and Spainish Almeria-type greenhouse

Author(s): Jorge Antonio Sanchez-Molina, Li Ming, Francisco Rodriguez, Jose Luis Guzman, Wang Hui, Yang Xinting
Published in: International Journal of Agricultural and Biological Engineering, Issue 10/4, 2017, Page(s) 66-76, ISSN 1934-6344
DOI: 10.25165/j.ijabe.20171004.2398

Agricultural cooperatives and the role of organisational models in new intelligent traceability systems and big data analysis

Author(s): Cynthia Giagnocavo, Fernando Bienvenido, Li Ming, Zhao Yurong, Jorge Antonio Sanchez-Molina, Yang Xinting
Published in: International Journal of Agricultural and Biological Engineering, Issue 10/5, 2017, Page(s) 115-125, ISSN 1934-6344
DOI: 10.25165/j.ijabe.20171005.3089

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

Author(s): Cor Verdouw, Harald Sundmaeker, Bedir Tekinerdogan, Davide Conzon, Teodoro Montanaro
Published in: Computers and Electronics in Agriculture, Issue 165, 2019, Page(s) 104939, ISSN 0168-1699
DOI: 10.1016/j.compag.2019.104939

Ethics of smart farming: Current questions and directions for responsible innovation towards the future

Author(s): Simone van der Burg, Marc-Jeroen Bogaardt, Sjaak Wolfert
Published in: NJAS - Wageningen Journal of Life Sciences, 2019, Page(s) 100289, ISSN 1573-5214
DOI: 10.1016/j.njas.2019.01.001

Enabling Large-Scale IoT-Based Services through Elastic Publish/Subscribe

Author(s): Sergio Vavassori, Javier Soriano, Rafael Fernández
Published in: Sensors, Issue 17/9, 2017, Page(s) 2148, ISSN 1424-8220
DOI: 10.3390/s17092148

A Low-Cost IoT-Based System to Monitor the Location of a Whole Herd

Author(s): Francisco Maroto-Molina, Jorge Navarro-García, Karen Príncipe-Aguirre, Ignacio Gómez-Maqueda, José E. Guerrero-Ginel, Ana Garrido-Varo, Dolores C. Pérez-Marín
Published in: Sensors, Issue 19/10, 2019, Page(s) 2298, ISSN 1424-8220
DOI: 10.3390/s19102298

Characterization of LoRa Point-to-Point Path-Loss: Measurement Campaigns and Modeling Considering Censored Data

Author(s): Gilles Callebaut, Liesbet Van der Perre
Published in: IEEE Internet of Things Journal, 2019, Page(s) 1-1, ISSN 2327-4662
DOI: 10.1109/jiot.2019.2953804

A Bayesian framework for joint structure and colour based pixel-wise classification of grapevine proximal images

Author(s): F. Abdelghafour, R. Rosu, B. Keresztes, C. Germain, J.P. Da Costa
Published in: Computers and Electronics in Agriculture, Issue 158, 2019, Page(s) 345-357, ISSN 0168-1699
DOI: 10.1016/j.compag.2019.02.017

Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing

Author(s): Simone van der Burg, Leanne Wiseman, Jovana Krkeljas
Published in: Ethics and Information Technology, 2020, ISSN 1388-1957
DOI: 10.1007/s10676-020-09543-1

IoT European Large-Scale Pilots – Integration, Experimentation and Testing

Author(s): Guillén, Sergio; Sala, Pilar; Fico, Giuseppe; Arredondo, María Teresa; Cano, Alicia; Posada, Jorge; Gutiérrez, German; Palau, Carlos; Votis, Konstantinos; Verdouw, C.N.; Wolfert, J.; Beers, G.; Sundmaeker, H.; Chatzikostas, Grigoris; Ziegler, Sébastian; Hemmens, Christopher; Holst, Marita; Stahlbröst, Anna; Scudiero, Lucio; Reale, C.; Krco, S.; Drajic, D.; Eisenhauer, M.; Jahn, M.; Valino, J.
Published in: Cognitive Hyperconnected Digital Transformation, Issue 3, 2017, Page(s) 221-282

De agrarische revolutie: High-tech toepassingen van Smart farming

Author(s): Sjaak Wolfert
Published in: 2018

Dairy cow behaviour in relation to precision mineral supplementation

Author(s): Foged H
Published in: 2019

Flowability of mineral feed supplements for precision mineral supplementation

Author(s): Foged H. Madsen J.
Published in: 2019

LoRa Physical Layer Evaluation for Point-to-Point Links and Coverage Measurements in Diverse Environments

Author(s): G. Callebaut, G. Leenders, C. Buyle, S. Crul, L. Van der Perre,
Published in: 2019

An NFC-LoRa Connectivity Tandem as IoT bridge to Improve Safety in Food and Feed Delivery

Author(s): Stijn Crul, Jarne Van Mulders and Liesbet Van der Perre
Published in: 2019

Besparing 25 procent met variabele dosering bodemherbiciden

Author(s): Haijo Dodde
Published in: 2019