Decision Support Systems in Fisheries and Aquaculture: A systematic
  review
  Decision support systems help decision makers make better decisions in the
face of complex decision problems (e.g. investment or policy decisions).
Fisheries and Aquaculture is a domain where decision makers face such decisions
since they involve factors from many different scientific fields. No systematic
overview of literature describing decision support systems and their
application in fisheries and aquaculture has been conducted. This paper
summarizes scientific literature that describes decision support systems
applied to the domain of Fisheries and Aquaculture. We use an established
systematic mapping survey method to conduct our literature mapping. Our
research questions are: What decision support systems for fisheries and
aquaculture exists? What are the most investigated fishery and aquaculture
decision support systems topics and how have these changed over time? Do any
current DSS for fisheries provide real- time analytics? Do DSSes in Fisheries
and Aquaculture build their models using machine learning done on captured and
grounded data? The paper then detail how we employ the systematic mapping
method in answering these questions. This results in 27 papers being identified
as relevant and gives an exposition on the primary methods concluded in the
study for designing a decision support system. We provide an analysis of the
research done in the studies collected. We discovered that most literature does
not consider multiple aspects for multiple stakeholders in their work. In
addition we observed that little or no work has been done with real-time
analysis in these decision support systems.
