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

Nyi-Nyi Htun, Diego Rojo, Jeroen Ooge, Robin De Croon, Aikaterini Kasimati and Katrien Verbert
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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

Agriculture, 2022, vol. 12, issue 7, 1-30

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.

Keywords: precision agriculture; data analytics; interactive visualisations; decision support systems; user evaluation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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