Change search
Refine search result
1 - 18 of 18
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Abbasi, Abdul G
    et al.
    RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.
    Rydberg, Anna
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Altmann, Peter
    Digg Agency for Digital Government, Sweden.
    Towards a verifiable and secure data sharing platform for livestock supply chain2022In: 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 (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. 

  • 2.
    Andersson, Karin
    et al.
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food. KTH Royal Institute of Technology, Sweden; Linköping University, Sweden.
    Eklund, J.
    KTH Royal Institute of Technology, Sweden; Linköping University, Sweden.
    Anna, Rydberg
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Lean-inspired development work in agriculture: Implications for the work environment2020In: Agronomy Research, ISSN 1406-894X, E-ISSN 2228-4907, Vol. 18, no 2, p. 324-345Article in journal (Refereed)
    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.

  • 3.
    Benfalk, Christel
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Gilbertsson, Mikael
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Ladberg, Eva
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Anna, Rydberg
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Grisuppfödning: tekniker från gris till kotlett2005Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 4.
    Herlin, Anders
    et al.
    SLU Swedish University of Agricultural Sciences, Sweden.
    Brunberg, Emma
    Animal Welfare Sweden, Sweden.
    Hultgren, Jan
    SLU Swedish University of Agricultural Sciences, Sweden.
    Högberg, Niclas
    SLU Swedish University of Agricultural Sciences, Sweden.
    Anna, Rydberg
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Skarin, Anna
    SLU Swedish University of Agricultural Sciences, Sweden.
    Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture2021In: Animals, E-ISSN 2076-2615, Vol. 11, no 3, article id 829Article in journal (Refereed)
    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.

  • 5.
    Lindström, Annika
    et al.
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Lind, Ann-Kristina
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Anna, Rydberg
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Kihlstedt, Annika
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Få ett gott djuröga med hjälp av eyetracking: en pilotstudie2020Report (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.

    Download full text (pdf)
    fulltext
  • 6.
    Lundin, Gunnar
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Anna, Rydberg
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Jämn fördelning av konstgödsel och kalk.: Metodutveckling med bildanalys samt praktisk spridning2010Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 7. Melin, Martin
    et al.
    Anna, Rydberg
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Sundström, Barbro
    Östergren, Karin
    Lean för konkurrenskraftig och klimateffektiv mjölkproduktion2013Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 8.
    Olsson, Johanna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Sundström, Barbro
    Åström, Hanna
    Anna, Rydberg
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Lean för effektiv och hållbar spannmålsproduktion: Metodik för hur Lean kan introduceras på spannmålsgårdar2014Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 9.
    Pesonen, Liisa
    et al.
    MTT, Finland.
    Koskinen, Harri
    VTT, Finland.
    Rydberg, Anna
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    InfoXT - User-centric mobile information management in automated plant production2020Report (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.

  • 10.
    Rydberg, Anna
    RISE Research Institutes of Sweden, Bioeconomy and Health, Agriculture and Food.
    Process för bred analys av kunskapsbehov inom jordbruket2021Report (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.

    Download full text (pdf)
    fulltext
  • 11.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Djodjic, Faruk
    Adolfsson, Niklas
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Obemannat flygplanssystem för insamling av höjddata till fosformodeller2014Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 12.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Gilbertsson, Mikael
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Monitoring live pig weight with a mobile imaging system2005In: Precision Livestock Farming 2005, 2005, p. 257-263Conference paper (Refereed)
    Abstract [en]

    Pig husbandry today has to be very efficient to manage the economic demands of finishing pigs. It is important for the farmer to optimize breeding and weight at slaughter in order to reach the weight interval for best payment and delivery increment at the slaughterhouse. To achieve the best economic production, feed consumption, death rate, and time to slaughter have to be minimized. The growth of the herd has to be monitored so that the farmer can control the feeding to reach optimum carcass weight and classification of meat percentage at the slaughterhouse. Ideally, the weight of the pig should be registered daily. Today, it is not possible to complete ordinary weighing daily as it is one of the most stressful, unhealthy, heavy and time demanding elements within pig husbandry. This paper presents the development of a mobile imaging system for live pig weight estimation in production conditions. The purpose of this project is to investigate if an optical weight estimator can be developed to estimate the individual weight of pigs in the same pen from images containing more than one pig. The optical weight estimator is designed to work in a production environment where transponder feeding is not available. Compared to similar studies, this study concentrates on conditions where several pigs are fed from the same feeding trough at set times, thus a mobile system was used. The adaptability of this mobile system makes it possible to use it in different stable environments. The optical weight estimator is attached to a carrier and the pigs are monitored during feeding. From the weighing system, pig growth, desired slaughter weight and shape information, as means to assistance in the estimation of meat percentage, can be approximated per pen. To be able to identify pigs ready for slaughter, the farmer has to be present to mark individual pigs that have reached the desired weight. The time for weighing pigs with the optical weight estimator is reduced by approximately 5 hours, from roughly 6 hours to 1 hour for 400 pigs. The relation between area and weight for pigs between 20 and 120 kg was similar to results presented in the literature (r2=0.97).

  • 13.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Hagner, O.
    Aronsson, P.
    Soderstrom, M.
    Mapping spatial variation in growing willow using small UAS2009In: Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009, 2009, p. 485-492Conference paper (Refereed)
    Abstract [en]

    Attempts to reduce consumption of fossil fuels have led to increased use of biofuels. Although willow generates a high energy exchange and is profitable in relation to many other dedicated energy crops, there has been relatively low interest among farmers in growing willow. This low interest is expected to continue unless the profitability of willow growing is considerably increased, either by significantly reducing production costs or by increasing product price. This could be achieved if growers could guarantee production of a certain quantity and quality at a certain time, which would require e.g. a method to estimate standing biomass in willow plantations. This study evaluated if visual interpretation of low altitude aerial photography from a small unmanned aircraft can be used to detect and map differences in variety, homogeneity, and biomass density in growing willow. It is the initial part of a larger project to evaluate different remote sensing based methods for estimation of biomass in growing willow. The ability to accurately map within-field variability would be very useful since it enables more efficient stratified field sampling techniques to be used. If differences can be detected by means of visual interpretation it could mandate the development of more advanced automated image-analysis based tools for quantitative measurements. The results show that it was possible to map areas with different homogeneity with high spatial precision using the orthophoto mosaic images generated with the UAS, when considering both spectral and textural information. It was also possible to differentiate between different varieties of willow using the UAS, provided that single images were used for spectral differentiation and that the stands were sufficiently large.

  • 14.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Hagner, Olle
    Söderström, Mats
    Börjesson, Thomas
    Obemannad flygfarkost (UAV) överblickar grödorna2007Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 15.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Lundin, Gunnar
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Measuring distribution accuracy of fertiliser using image analysis2005In: Precision Agriculture 2005, ECPA 2005, 2005, p. 557-563Conference paper (Refereed)
    Abstract [en]

    Spreading patterns from fertiliser spreaders are only occasionally measured in the field to ensure even distribution. In this study, the possibility of using image analysis to detect fertiliser granules automatically in images collected in field conditions was investigated. Images of the granules on the ground were taken right next to the location of the comparative collection trays. In these images, the granules were segmented automatically without changing any parameters between the different images and the area of each granule was converted into volume. This volume was then compared to the volume measured in the collection trays. The results indicate that the major distribution patterns from normalised volumes, calculated from the image analysis, closely follow the distribution patterns from the normalised fertiliser volumes measured within the collection trays. These results are valid for both centrifugal broadcasters and pneumatic distributors and are independent of the vegetation covers present in this study. As expected, the accuracy of the quantitative results from the image analysis decreased with increasing vegetation cover.

  • 16.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Melin, Martin
    Sundström, Barbro
    Östergren, Karin
    Konkurrenskraftigare grisföretagare med Lean: Metodik för hur Lean kan introduceras på slaktgrisgårdar2011Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 17.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Olsson, Johanna
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Gilbertsson, Mikael
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Algerbo, Per-Anders
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Data- och informationshantering i lantbruket: ett växande problem2008Report (Refereed)
    Download full text (pdf)
    FULLTEXT01
  • 18.
    Rydberg, Anna
    et al.
    RISE, SP – Sveriges Tekniska Forskningsinstitut, JTI Institutet för Jordbruks- och Miljöteknik.
    Soderstrom, M.
    Hagner, O.
    Borjesson, T.
    Field specific overview of crops using UAV (Unmanned Aerial Vehicle)2007In: Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007, 2007, p. 357-364Conference paper (Refereed)
    Abstract [en]

    Data collection for precision agriculture has to be timely, cost effective and have minimum influence on the growing crop. Unmanned aerial vehicles (UAV) may provide unique spatial and temporal field specific information at a low cost. The objective of this project was to test a currently available, low-cost UAV technology and its potential usefulness for collecting information for precision agriculture. This system is the first fixed wing UAV approved for routine flying in uncontrolled airspace in Sweden. Single images and orthophoto mosaics of high-resolution true colour images have been created and compared to field measurements and the paper shows the potential of creating a fully automated aerial mapping system in the future. In this study, focus was set on the occurrence of weeds and N-content variations in wheat. Some comparison between UAV images and the quality of malting barley according to protein content was also made.A limitation in this study was the lack of image acquisition in the NIR spectral range. A NIR-enabled camera option is now available for the UAV-system and future studies of protein registration in grains will be made. Protein content proved to be difficult to measure without data from the NIR-spectral range. Valuable information on nitrogen deficiencies and weed concentration has been collected, indicating an acceptable image quality using the SmartOne UAV for precision agriculture purposes. This system shows great potential to be an important tool for future farm advisors to be able to make frequent, timely inspections of entire fields without any risk of soil compaction.

1 - 18 of 18
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf