  A fish farm is an area where fish raise and bred for food. Fish farm
environments support the care and management of seafood within a controlled
environment. Over the past few decades, there has been a remarkable increase in
the calorie intake of protein attributed to seafood. Along with this, there are
significant opportunities within the fish farming industry for economic
development. Determining the fish diseases, monitoring the aquatic organisms,
and examining the imbalance in the water element are some key factors that
require precise observation to determine the accuracy of the acquired data.
Similarly, due to the rapid expansion of aquaculture, new technologies are
constantly being implemented in this sector to enhance efficiency. However, the
existing approaches have often failed to provide an efficient method of farming
fish. This work has kept aside the traditional approaches and opened up new
dimensions to perform accurate analysis by adopting a distributed ledger
technology. Our work analyses the current state-of-the-art of fish farming and
proposes a fish farm ecosystem that relies on a private-by-design architecture
based on the Hyperledger Fabric private-permissioned distributed ledger
technology. The proposed method puts forward accurate and secure storage of the
retrieved data from multiple sensors across the ecosystem so that the adhering
entities can exercise their decision based on the acquired data. This study
demonstrates a proof-of-concept to signify the efficiency and usability of the
future fish farm.

Computers and Society;Cryptography and Security