IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i7p1027-d863060.html
   My bibliography  Save this article

Developing Visual-Assisted Decision Support Systems across Diverse Agricultural Use Cases

Author

Listed:
  • Nyi-Nyi Htun

    (Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium)

  • Diego Rojo

    (Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium)

  • Jeroen Ooge

    (Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium)

  • Robin De Croon

    (Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium)

  • Aikaterini Kasimati

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece)

  • Katrien Verbert

    (Department of Computer Science, Celestijnenlaan 200A, 3001 Leuven, Belgium)

Abstract

Decision support systems (DSSs) in agriculture are becoming increasingly popular, and have begun adopting visualisations to facilitate insights into complex data. However, DSSs for agriculture are often designed as standalone applications, which limits their flexibility and portability. They also rarely provide interactivity, visualise uncertainty and are evaluated with end-users. To address these gaps, we developed six web-based visual-assisted DSSs for various agricultural use cases, including biological efficacy correlation analysis, water stress and irrigation requirement analysis, product price prediction, etc. We then evaluated our DSSs with domain experts, focusing on usability, workload, acceptance and trust. Results showed that our systems were easy to use and understand, and participants perceived them as highly performant, even though they required a slightly high mental demand, temporal demand and effort. We also published the source code of our proposed systems so that they can be re-used or adapted by the agricultural community.

Suggested Citation

  • Nyi-Nyi Htun & Diego Rojo & Jeroen Ooge & Robin De Croon & Aikaterini Kasimati & Katrien Verbert, 2022. "Developing Visual-Assisted Decision Support Systems across Diverse Agricultural Use Cases," Agriculture, MDPI, vol. 12(7), pages 1-30, July.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:1027-:d:863060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/7/1027/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/7/1027/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hahsler, Michael & Hornik, Kurt & Buchta, Christian, 2008. "Getting Things in Order: An Introduction to the R Package seriation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i03).
    2. Lundström, Christina & Lindblom, Jessica, 2018. "Considering farmers' situated knowledge of using agricultural decision support systems (AgriDSS) to Foster farming practices: The case of CropSAT," Agricultural Systems, Elsevier, vol. 159(C), pages 9-20.
    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. Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh, 2010. "GAP: A graphical environment for matrix visualization and cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 767-778, March.
    2. José A. Martínez-Casasnovas & Alexandre Escolà & Jaume Arnó, 2018. "Use of Farmer Knowledge in the Delineation of Potential Management Zones in Precision Agriculture: A Case Study in Maize ( Zea mays L.)," Agriculture, MDPI, vol. 8(6), pages 1-18, June.
    3. Maciej Jagódka & Małgorzata Snarska, 2021. "The State of Human Capital and Innovativeness of Polish Voivodships in 2004–2018," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    4. McGrath, Karen & Brown, Claire & Regan, Áine & Russell, Tomás, 2023. "Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies," Agricultural Systems, Elsevier, vol. 207(C).
    5. Jesus Crespo Cuaresma & Bettina Grün & Paul Hofmarcher & Stefan Humer & Mathias Moser, 2015. "A Comprehensive Approach to Posterior Jointness Analysis in Bayesian Model Averaging Applications," Department of Economics Working Papers wuwp193, Vienna University of Economics and Business, Department of Economics.
    6. Kamini Yadav & Hatim M. E. Geli, 2021. "Prediction of Crop Yield for New Mexico Based on Climate and Remote Sensing Data for the 1920–2019 Period," Land, MDPI, vol. 10(12), pages 1-27, December.
    7. Aliyev, Denis A. & Zirbel, Craig L., 2023. "Seriation using tree-penalized path length," European Journal of Operational Research, Elsevier, vol. 305(2), pages 617-629.
    8. Hahsler, Michael, 2017. "An experimental comparison of seriation methods for one-mode two-way data," European Journal of Operational Research, Elsevier, vol. 257(1), pages 133-143.
    9. Eric C. Chi & Genevera I. Allen & Richard G. Baraniuk, 2017. "Convex biclustering," Biometrics, The International Biometric Society, vol. 73(1), pages 10-19, March.
    10. Karly Ann Burch & Dawn Nafus & Katharine Legun & Laurens Klerkx, 2023. "Intellectual property meets transdisciplinary co-design: prioritizing responsiveness in the production of new AgTech through located response-ability," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 40(2), pages 455-474, June.
    11. 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.
    12. Pedersen, Michael Friis & Gyldengren, Jacob Glerup & Pedersen, Søren Marcus & Diamantopoulos, Efstathios & Gislum, René & Styczen, Merete Elisabeth, 2021. "A simulation of variable rate nitrogen application in winter wheat with soil and sensor information - An economic feasibility study," Agricultural Systems, Elsevier, vol. 192(C).
    13. Troxler, David & Zabel, Astrid, 2021. "Clearing forests to make way for a sustainable economy transition in Switzerland," Forest Policy and Economics, Elsevier, vol. 129(C).
    14. Hofmarcher, Paul & Crespo Cuaresma, Jesus & Grün, Bettina & Humer, Stefan & Moser, Mathias, 2018. "Bivariate jointness measures in Bayesian Model Averaging: Solving the conundrum," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 150-165.
    15. Nametala, Ciniro Aparecido Leite & Faria, Wandry Rodrigues & Lage, Guilherme Guimarães & Pereira, Benvindo Rodrigues, 2023. "Analysis of hourly price granularity implementation in the Brazilian deregulated electricity contracting environment," Utilities Policy, Elsevier, vol. 81(C).
    16. Ke Zhang & Xue Wang & Xiaoling Wang & Syed Tahir Ata-Ul-Karim & Yongchao Tian & Yan Zhu & Weixing Cao & Xiaojun Liu, 2020. "Does the Organ-Based N Dilution Curve Improve the Predictions of N Status in Winter Wheat?," Agriculture, MDPI, vol. 10(11), pages 1-19, October.
    17. Piccarreta, Raffaella & Struffolino, Emanuela, 2019. "An Integrated Heuristic for Validation in Sequence Analysis," SocArXiv v7mj8, Center for Open Science.
    18. Laurent, Monique & Seminaroti, Matteo, 2016. "Similarity-First Search : A New Algorithm With Application to Robinsonian Matrix Recognition," Other publications TiSEM 8468be57-ed46-400c-9c0e-7, Tilburg University, School of Economics and Management.
    19. Shailendra Pratap & Prashant K. Srivastava & Ashish Routray & Tanvir Islam & Rajesh Kumar Mall, 2020. "Appraisal of hydro-meteorological factors during extreme precipitation event: case study of Kedarnath cloudburst, Uttarakhand, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 635-654, January.
    20. Carlos F. Brunner-Parra & Luis A. Croquevielle-Rendic & Carlos A. Monardes-Concha & Bryan A. Urra-Calfuñir & Elbio L. Avanzini & Tomás Correa-Vial, 2022. "Web-Based Integer Programming Decision Support System for Walnut Processing Planning: The MeliFen Case," Agriculture, MDPI, vol. 12(3), pages 1-22, March.

    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:1027-:d:863060. 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.