IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i7p1024-d862619.html
   My bibliography  Save this article

Visually Explaining Uncertain Price Predictions in Agrifood: A User-Centred Case-Study

Author

Listed:
  • Jeroen Ooge

    (Department of Computer Science, KU Leuven, 3001 Leuven, Belgium)

  • Katrien Verbert

    (Department of Computer Science, KU Leuven, 3001 Leuven, Belgium)

Abstract

The rise of ‘big data’ in agrifood has increased the need for decision support systems that harvest the power of artificial intelligence. While many such systems have been proposed, their uptake is limited, for example because they often lack uncertainty representations and are rarely designed in a user-centred way. We present a prototypical visual decision support system that incorporates price prediction, uncertainty, and visual analytics techniques. We evaluated our prototype with 10 participants who are active in different parts of agrifood. Through semi-structured interviews and questionnaires, we collected quantitative and qualitative data about four metrics: usability, usefulness and needs, model understanding, and trust. Our results reveal that the first three metrics can directly and indirectly affect appropriate trust, and that perception differences exist between people with diverging experience levels in predictive modelling. Overall, this suggests that user-centred approaches are key for increasing uptake of visual decision support systems in agrifood.

Suggested Citation

  • Jeroen Ooge & Katrien Verbert, 2022. "Visually Explaining Uncertain Price Predictions in Agrifood: A User-Centred Case-Study," Agriculture, MDPI, vol. 12(7), pages 1-25, July.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:1024-:d:862619
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/7/1024/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/7/1024/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel H. Jarvis & Mark P. Wachowiak & Dan F. Walters & John M. Kovacs, 2017. "Adoption of Web-Based Spatial Tools by Agricultural Producers: Conversations with Seven Northeastern Ontario Farmers Using the GeoVisage Decision Support System," Agriculture, MDPI, vol. 7(8), pages 1-22, August.
    2. Osinga, Sjoukje A. & Paudel, Dilli & Mouzakitis, Spiros A. & Athanasiadis, Ioannis N., 2022. "Big data in agriculture: Between opportunity and solution," Agricultural Systems, Elsevier, vol. 195(C).
    3. Rose, David C. & Sutherland, William J. & Parker, Caroline & Lobley, Matt & Winter, Michael & Morris, Carol & Twining, Susan & Ffoulkes, Charles & Amano, Tatsuya & Dicks, Lynn V., 2016. "Decision support tools for agriculture: Towards effective design and delivery," Agricultural Systems, Elsevier, vol. 149(C), pages 165-174.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gary Bentrup & Michael G. Dosskey, 2022. "Tree Advisor: A Novel Woody Plant Selection Tool to Support Multifunctional Objectives," Land, MDPI, vol. 11(3), pages 1-23, March.
    2. Elena Feo & Sylvia Burssens & Hannes Mareen & Pieter Spanoghe, 2022. "Shedding Light into the Need of Knowledge Sharing in H2020 Thematic Networks for the Agriculture and Forestry Innovation," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    3. Hidalgo, Francisco & Quiñones-Ruiz, Xiomara F. & Birkenberg, Athena & Daum, Thomas & Bosch, Christine & Hirsch, Patrick & Birner, Regina, 2023. "Digitalization, sustainability, and coffee. Opportunities and challenges for agricultural development," Agricultural Systems, Elsevier, vol. 208(C).
    4. So Pyay Thar & Thiagarajah Ramilan & Robert J. Farquharson & Deli Chen, 2021. "Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with Participatory Research: A Case for Smallholder Farmers in Myanmar," Agriculture, MDPI, vol. 11(6), pages 1-20, June.
    5. Carof, Matthieu & Godinot, Olivier, 2018. "A free online tool to calculate three nitrogen-related indicators for farming systems," Agricultural Systems, Elsevier, vol. 162(C), pages 28-33.
    6. Jouan, Julia & Carof, Matthieu & Baccar, Rim & Bareille, Nathalie & Bastian, Suzanne & Brogna, Delphine & Burgio, Giovanni & Couvreur, Sébastien & Cupiał, Michał & Dufrêne, Marc & Dumont, Benjamin & G, 2021. "SEGAE: An online serious game to learn agroecology," Agricultural Systems, Elsevier, vol. 191(C).
    7. Michels, Marius & Musshoff, Oliver, 2021. "Timing of Smartphone Adoption in Agriculture: A Tobit Regression Analysis," 2021 Conference, August 17-31, 2021, Virtual 315358, International Association of Agricultural Economists.
    8. Yayan Apriyana & Elza Surmaini & Woro Estiningtyas & Aris Pramudia & Fadhlullah Ramadhani & Suciantini Suciantini & Erni Susanti & Rima Purnamayani & Haris Syahbuddin, 2021. "The Integrated Cropping Calendar Information System: A Coping Mechanism to Climate Variability for Sustainable Agriculture in Indonesia," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    9. Sophia Xiaoxia Duan & Santoso Wibowo & Josephine Chong, 2021. "A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness," Mathematics, MDPI, vol. 9(8), pages 1-16, April.
    10. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    11. Oksana Hrynevych & Miguel Blanco Canto & Mercedes Jiménez García, 2022. "Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers," Agriculture, MDPI, vol. 12(5), pages 1-15, May.
    12. Grothkopf, Carina & Schulze, Holger, 2021. "Empirische Analyse der Einflussfaktoren auf die Digitalisierung der Milchviehhaltung," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317061, German Association of Agricultural Economists (GEWISOLA).
    13. Rose, David C. & Sutherland, William J. & Barnes, Andrew P. & Borthwick, Fiona & Ffoulkes, Charles & Hall, Clare & Moorby, Jon M. & Nicholas-Davies, Phillipa & Twining, Susan & Dicks, Lynn V., 2019. "Integrated farm management for sustainable agriculture: Lessons for knowledge exchange and policy," Land Use Policy, Elsevier, vol. 81(C), pages 834-842.
    14. Phelan, David C. & Harrison, Matthew T. & McLean, Greg & Cox, Howard & Pembleton, Kieth G. & Dean, Geoff J. & Parsons, David & do Amaral Richter, Maria E. & Pengilley, Georgie & Hinton, Sue J. & Moham, 2018. "Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania," Agricultural Systems, Elsevier, vol. 167(C), pages 113-124.
    15. Tröster, Michael, 2017. "Bildung Einer Kostenfunktion Für Die Ausbringung Von Düngemitteln Unter Berücksichtigung Einer Tourenplanungsroutine Mit Teillieferungen (Sdvrp)," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 262155, German Association of Agricultural Economists (GEWISOLA).
    16. Nordmeyer, Eike Florenz, 2023. "German farmers' perceived usefulness of satellite-based index insurance - Insights from a transtheoretical model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334557, Agricultural Economics Society - AES.
    17. Fabian Weckesser & Michael Beck & Kurt-Jürgen Hülsbergen & Sebastian Peisl, 2022. "A Digital Advisor Twin for Crop Nitrogen Management," Agriculture, MDPI, vol. 12(2), pages 1-22, February.
    18. Michels, Marius & Bonke, Vanessa & Mußhoff, Oliver, 2019. "Understanding the adoption of crop protection smartphone apps: An application of the Unified Theory of Acceptance and Use of Technology," DARE Discussion Papers 1905, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    19. Elena Butsenko & Aleksandr Kurdyumov & Aleksandr Semin, 2020. "Intelligent Automation System on a Single-Board Computer Platform for the Agro-Industrial Sector," Mathematics, MDPI, vol. 8(9), pages 1-15, September.
    20. Kenny, Ursula & Regan, Áine & Hearne, Dave & O'Meara, Christine, 2021. "Empathising, defining and ideating with the farming community to develop a geotagged photo app for smart devices: A design thinking approach," Agricultural Systems, Elsevier, vol. 194(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:1024-:d:862619. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.