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Publications (10 of 18) Show all publications
Abbasi, A. G., Rydberg, A. & Altmann, P. (2022). Towards a verifiable and secure data sharing platform for livestock supply chain. In: Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022: . Paper presented at 20th IEEE International Conference on Dependable, Autonomic and Secure Computing, 20th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing, 2022 IEEE International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, 12 September 2022 through 15 September 2022. Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Towards a verifiable and secure data sharing platform for livestock supply chain
2022 (English)In: Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, Institute of Electrical and Electronics Engineers Inc. , 2022Conference paper, Published paper (Refereed)
Abstract [en]

The digitization of a supply chain involves satisfying several functional and non-functional context specific requirements. The work presented herein builds on efforts to elicit trust and profit requirements from actors in the Swedish livestock supply chain, specifically the beef supply chain. Interviewees identified several benefits related to data sharing and traceability but also emphasized that these benefits could only be realized if concerns around data security and data privacy were adequately addressed. We developed a data sharing platform as a response to these requirements. Requirements around verifiability, traceability, secure data sharing of potentially large data objects, fine grained access control, and the ability to link together data objects was realized using distributed ledger technology and a distributed file system. This paper presents this data sharing platform together with an evaluation of its usefulness in the context of beef supply chain traceability. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2022
Keywords
blockchain, data ownership, ipfs, smart contract, traceability, Access control, Agriculture, Data privacy, Distributed ledger, File organization, Supply chains, Block-chain, Data objects, Data Sharing, Data-sharing platforms, Digitisation, Non-functional, Secure data
National Category
Computer Systems
Identifiers
urn:nbn:se:ri:diva-62605 (URN)10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927871 (DOI)2-s2.0-85145349773 (Scopus ID)9781665462976 (ISBN)
Conference
20th IEEE International Conference on Dependable, Autonomic and Secure Computing, 20th IEEE International Conference on Pervasive Intelligence and Computing, 7th IEEE International Conference on Cloud and Big Data Computing, 2022 IEEE International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, 12 September 2022 through 15 September 2022
Note

 Funding details: Svenska Forskningsrådet Formas; Funding text 1: ACKNOWLEDGEMENT This project (grant number: 2019-02277) was funded by Formas within the National Research Programme for Food.

Available from: 2023-01-24 Created: 2023-01-24 Last updated: 2023-01-24Bibliographically approved
Herlin, A., Brunberg, E., Hultgren, J., Högberg, N., Anna, R. & Skarin, A. (2021). Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture. Animals, 11(3), Article ID 829.
Open this publication in new window or tab >>Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture
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2021 (English)In: Animals, E-ISSN 2076-2615, Vol. 11, no 3, article id 829Article in journal (Refereed) Published
Abstract [en]

The opportunities for natural animal behaviours in pastures imply animal welfare benefits. Nevertheless, monitoring the animals can be challenging. The use of sensors, cameras, positioning equipment and unmanned aerial vehicles in large pastures has the potential to improve animal welfare surveillance. Directly or indirectly, sensors measure environmental factors together with the behaviour and physiological state of the animal, and deviations can trigger alarms for, e.g., disease, heat stress and imminent calving. Electronic positioning includes Radio Frequency Identification (RFID) for the recording of animals at fixed points. Positioning units (GPS) mounted on collars can determine animal movements over large areas, determine their habitat and, somewhat, health and welfare. In combination with other sensors, such units can give information that helps to evaluate the welfare of free-ranging animals. Drones equipped with cameras can also locate and count the animals, as well as herd them. Digitally defined virtual fences can keep animals within a predefined area without the use of physical barriers, relying on acoustic signals and weak electric shocks. Due to individual variations in learning ability, some individuals may be exposed to numerous electric shocks, which might compromise their welfare. More research and development are required, especially regarding the use of drones and virtual fences. © 2021 by the authors.

Place, publisher, year, edition, pages
MDPI AG, 2021
Keywords
Animal welfare, Cattle, Monitoring, Precision livestock farming, Sensor, Sheep, Virtual fence
National Category
Animal and Dairy Science
Identifiers
urn:nbn:se:ri:diva-52627 (URN)10.3390/ani11030829 (DOI)2-s2.0-85102434037 (Scopus ID)
Note

Funding details: Sveriges Lantbruksuniversitet, SLU; Funding text 1: Researchers Charlotte Berg, Nils Fall, Helena Hansson, Magdalena Jacobson, Anna Jarmar, Linda J. Keeling, Christina Lunner Kolstrup, Lotta Rydhmer, Eva Sandberg, Margareta Steen and Helena Wall from the Scientific Council for Animal Welfare of the Swedish University of Agricultural Sciences helped with comments on the Swedish report that preceded this paper. The Swedish University of Agricultural Sciences provided the funding.

Available from: 2021-03-25 Created: 2021-03-25 Last updated: 2024-01-17Bibliographically approved
Rydberg, A. (2021). Process för bred analys av kunskapsbehov inom jordbruket.
Open this publication in new window or tab >>Process för bred analys av kunskapsbehov inom jordbruket
2021 (Swedish)Report (Other academic)
Abstract [en]

Process to identify and prioritise farmers knowledge needs for the Swedish agriculture. Several studies have pointed out gaps and shortcomings in the knowledge chain in Swedish agriculture (Swedish Board of Agriculture 2019, OECD 2018). Two questions that have been raised are whether the research has focused on the knowledge needs farmers really have and how the cooperation among the actors along the knowledge chain works. The goal of this pilot project was to develop and test, in a small scale, a process to identify and classify knowledge needs of Swedish farmers, in collaboration with key stakeholders along the knowledge chain in the agricultural sector. The long-term goal is to scale up the process to a national level to assess farmers needs in Swedish agriculture. The purpose is to highlight what knowledge farmers request all over Sweden and to provide input to the prioritization of research and development funds. The project was carried out during the Cov-19 pandemic 2020-2021, which limited the possibility of physical meetings, and all meetings were therefore digital. Four digital workshops were conducted in slightly different ways, with farmers representing two geographical areas. Each workshop had a unique set-up of participating farmers. At the workshops, the farmers discussed and prioritized their various knowledge needs. The material from the workshops was compiled into categories and sent out for feedback to various experts, in the broad sense. The experts classified the needs according to what knowledge is already available and whether this knowledge is easily accessible. They were also asked to rank their top three most important knowledge needs for each category. A process to capture, classify and prioritise farmers' knowledge needs is presented and tested in this study. This process captures farmers' knowledge needs in a broad sense and is favourably to be used as a complement to knowledge gaps identified by specialised interest groups, such as trade associations or sector-specific centres, to provide a comprehensive picture of farmers' knowledge needs. By collaboratively highlighting and discussing farmers' knowledge needs in a broader context, the process has potential to increase cooperation and knowledge exchange between the actors in the agricultural knowledge chain.

Publisher
p. 38
Series
RISE Rapport ; 2021:122
Keywords
agriculture, knowledge gaps, farmers, research, advisor
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:ri:diva-57511 (URN)978-91-89561-13-7 (ISBN)
Available from: 2021-12-30 Created: 2021-12-30 Last updated: 2021-12-30Bibliographically approved
Lindström, A., Lind, A.-K., Anna, R. & Kihlstedt, A. (2020). Få ett gott djuröga med hjälp av eyetracking: en pilotstudie.
Open this publication in new window or tab >>Få ett gott djuröga med hjälp av eyetracking: en pilotstudie
2020 (Swedish)Report (Other academic)
Abstract [en]

Can eyetracking as a tool be used to educate new staff at a farm?

This pilot project evaluates the potential of eyetracking as a tool for training new staff on a farm in practical knowledge about animal welfare.

A basic prerequisite for economically profitable animal production is healthy animals with good growth. Detecting animals in need of extra care during rounds is a challenge when there are many animals that need to be checked in a short time. The experience of the staff is an important component, but access to qualified staff is a scarce commodity. The experience of the skilled staff is rarely written down but constitutes a tacit knowledge that is very sensitive to whether staff quit or fall ill. Hiring foreign labor is becoming more common, in which case the potential to take part in the workforce's overall competence will determine how well the new workers will succeed in their tasks.

By using technical tools such as eyetracking, you can record what a person is looking at in a certain environment. With this technology one could easily show and educate, e.g. staff, new employees, and students, what it is an experienced caretaker looks at when minding the animals. The technology makes it possible to visualize what an experienced caretaker is observing. In that way eyetracking has the potential to improve the working environment by streamlining the work of training new staff and getting everyone in the work team (experienced or not) to perform the tasks at the same high level as the most experienced.

Publisher
p. 6
Series
RISE Rapport ; 2020:57
Keywords
agriculture, animal welfare, knowledge transfer, eyetracking
National Category
Engineering and Technology
Identifiers
urn:nbn:se:ri:diva-45139 (URN)978-91-89167-41-4 (ISBN)
Available from: 2020-06-25 Created: 2020-06-25 Last updated: 2024-03-15
Pesonen, L., Koskinen, H. & Rydberg, A. (2020). InfoXT - User-centric mobile information management in automated plant production.
Open this publication in new window or tab >>InfoXT - User-centric mobile information management in automated plant production
2020 (English)Report (Other academic)
Abstract [en]

Nordic knowledge and know-how in the area of agriculture and ICT was extracted and further developed in the joint Nordic project ‘InfoXT - User-centric mobile information management in automated plant production’. The aim of the project was to draw up basic recommendations and guidelines for a novel, intelligent, integrated information and decision support framework for planning and control of mobile working units. Project participants came from Aarhus University - Faculty of Agricultural Sciences, Helsinki University of Technology - Information and Computer Systems in Automation, MTT Agrifood Research Finland, Swedish Institute for Agricultural and Environmental Engineering and VTT - Technical Research Centre of Finland. The work was based on a systems analysis approach that utilised data from earlier and on-going Nordic research and new prototypes as a technology platform. An initial study among Swedish precision farmers revealed user needs in information- and technology-intensive farms. Against this background, a systems concept for information management in mobile plant production environments was designed. The concept was technically validated by implementing new parts in practice. The system usability of the concept was evaluated using scenarios and internet questionnaire in all Nordic countries. The resulting system concept functions as a common description of user-friendly information systems for all actors in the value chain.

Publisher
p. 105
Series
Nordic Innovation Centre project number: 05103
National Category
Engineering and Technology
Identifiers
urn:nbn:se:ri:diva-64275 (URN)
Available from: 2023-03-27 Created: 2023-03-27 Last updated: 2023-04-12Bibliographically approved
Andersson, K., Eklund, J. & Anna, R. (2020). Lean-inspired development work in agriculture: Implications for the work environment. Agronomy Research, 18(2), 324-345
Open this publication in new window or tab >>Lean-inspired development work in agriculture: Implications for the work environment
2020 (English)In: Agronomy Research, ISSN 1406-894X, E-ISSN 2228-4907, Vol. 18, no 2, p. 324-345Article in journal (Refereed) Published
Abstract [en]

Farmers operate in a turbulent environment that includes international competition, weather conditions and animal behaviour, for example, and is difficult for them to control. However, economy and productivity always have a high priority. As a consequence, farms have started to implement lean-inspired work systems. At the same time, health and safety are of urgent concern in the sector. This article explores how famers apply lean-inspired work processes. It identifies work environment changes during and after a lean implementation, as well as possible developments in the work environment following implementation of the lean philosophy. Data were collected from three groups: lean, lean-light and development-inclined reference farms (in total 54 farms), using a questionnaire and interviews. The results indicate that a majority of the lean farms were applying several lean principles and tools, and the lean philosophy. The lean-light farms applied parts of the lean concept, while the reference farms applied some of the more general tools, used in lean and elsewhere, such as visualisation in various forms and to various extents. The results showed positive effects of lean on the psychosocial work environment, better work structure and improved information, communication and co-operation. The physical work environment was improved to some extent by lean, where advantages such as a more structured and practical work environment with less physical movements and locomotion could be noticed. The lean concept provided a more structured and systematic approach to dealing with work and production environmental issues, for managers as well as for employees.

Place, publisher, year, edition, pages
Eesti Pollumajandusulikool, 2020
Keywords
Farm, Farm business, Lean Production, Physical work environment, Psychosocial work environment, Safety and health, Structure, Work organisation
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-45103 (URN)10.15159/AR.20.043 (DOI)2-s2.0-85085885430 (Scopus ID)
Note

Funding details: AFA försäkring, 140216; Funding text 1: The authors would like to express their gratitude to the farmers and their employees for the time they took to contribute to the research. The authors would also like to acknowledge Lean Lantbruk (Lean Agriculture) for structural help in the research. The research was made possible by contributions from the SLO fund 2012?2014 (project number 11?0001?SLO) and from AFA Insurance for the project ?How Lean can provide a safer work environment in agriculture: 2015?2017? (project number 140216). Lean coaches, project managers and project evaluators played an interactive role during the project.

Available from: 2020-06-25 Created: 2020-06-25 Last updated: 2023-05-23Bibliographically approved
Olsson, J., Sundström, B., Åström, H. & Anna, R. (2014). Lean för effektiv och hållbar spannmålsproduktion: Metodik för hur Lean kan introduceras på spannmålsgårdar (ed.).
Open this publication in new window or tab >>Lean för effektiv och hållbar spannmålsproduktion: Metodik för hur Lean kan introduceras på spannmålsgårdar
2014 (Swedish)Report (Refereed)
Series
JTI rapport Lantbruk och industri, ISSN 1401-4963 ; 418
National Category
Agricultural Science
Identifiers
urn:nbn:se:ri:diva-1863 (URN)
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2023-11-03Bibliographically approved
Rydberg, A., Djodjic, F. & Adolfsson, N. (2014). Obemannat flygplanssystem för insamling av höjddata till fosformodeller (ed.).
Open this publication in new window or tab >>Obemannat flygplanssystem för insamling av höjddata till fosformodeller
2014 (Swedish)Report (Refereed)
Series
JTI rapport Lantbruk och industri, ISSN 1401-4963 ; 424
National Category
Agricultural Science
Identifiers
urn:nbn:se:ri:diva-1857 (URN)
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2021-09-20Bibliographically approved
Melin, M., Anna, R., Sundström, B. & Östergren, K. (2013). Lean för konkurrenskraftig och klimateffektiv mjölkproduktion (ed.).
Open this publication in new window or tab >>Lean för konkurrenskraftig och klimateffektiv mjölkproduktion
2013 (Swedish)Report (Refereed)
Series
JTI rapport Lantbruk och industri, ISSN 1401-4963 ; 414
National Category
Agricultural Science
Identifiers
urn:nbn:se:ri:diva-1867 (URN)
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2023-05-23Bibliographically approved
Rydberg, A., Melin, M., Sundström, B. & Östergren, K. (2011). Konkurrenskraftigare grisföretagare med Lean: Metodik för hur Lean kan introduceras på slaktgrisgårdar (ed.).
Open this publication in new window or tab >>Konkurrenskraftigare grisföretagare med Lean: Metodik för hur Lean kan introduceras på slaktgrisgårdar
2011 (Swedish)Report (Refereed)
Series
JTI rapport Lantbruk och industri, ISSN 1401-4963 ; 399
National Category
Agricultural Science
Identifiers
urn:nbn:se:ri:diva-1882 (URN)
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2023-05-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2241-2749

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