查看文章

The popular aquarium fish called damselfish are valuable because of their commercial and ecological value. As the demand for these fishes is increasing, their estimation techniques carry great significance. Most conventional techniques for biomass estimation are visual sampling techniques, raft and floating radio frequency identification (RFID) tag systems, minnow traps, removal method of population estimation, etc., which are complex and require human interaction. Moreover, the instruments and devices used in these techniques are costly. With the aim of overcoming these difficulties, a cross-correlation based signal processing approach is presented in this research in order to estimate damselfish biomass in the sea. The estimation process is based on the production of an acoustic signal (called “chirp signal”) of these fish species during swimming within their territory. To evaluate the performance of the estimation, three different distributions of damselfish are considered in this paper. However, the chief goal of this investigation is to establish a new model of biomass estimation that will benefit research and commercial fishery management.