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Case-Based Reasoning in a System Architecture for Intelligent Fish Farming
 

Summary: Case-Based Reasoning in a System
Architecture for Intelligent Fish Farming
Axel TIDEMANN a
, Finn Olav BJØRNSON a
, Agnar AAMODT b
a
SINTEF Fisheries and Aquaculture AS
Trondheim, Norway
b
Department of Computer and Information Science, Norwegian University of Science
and Technology, Trondheim, Norway
Abstract. Fish farmers manage assets of considerable value on a daily basis. Many
aspects of the daily operation are automated in some way, such as the feeding sys-
tem. Sensory equipment steadily becomes cheaper and more ubiquitous, yielding
data that can be used by automated systems and for post-processing (i.e. data min-
ing) to discover hidden trends in the data. However, a lot of information is only
known informally by the fish farmers themselves, through years of experience.
Companies that can store this information and reuse it will have an advantage; even
more so if high-level human expertise can be linked to low-level sensor data. This
paper presents early developments of a system that stores this informal knowledge

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences