Njane Stephen Njehia
Kyoto University, Japan
Posters & Accepted Abstracts: J Aquac Res Development
Aquaculture is growing as a leading food producing sector. Most of the fish farmers are grappling with the need to monitor the growth of the fish in water for feed utilization, grading purposes and to enable them plan for harvesting and sales of their products. Increased fish density in a cage or a pond has been coupled with reduced weight of the growing fish. Normally, fish are manually sorted on commercial and fishing vessels based on weight and species. Length measurements are taken on the carrier vessel with one person measuring and the other jotting down the measurements. This is laborious and requires a lot of time. A computer vision system where fish are transported along a conveyor belt underneath a digital camera could measure the length of fish and identify whether it is flat fish or round fish. However, this is expensive and invasive. Therefore, this is need or a fast, reliable, non-invasive method to estimate the volume of fish. Our focus entailed measurement of fish in water using the difference in compressibility between water and fish. We used a technique known as Helmholtz resonance in an open cavity for the possibility of automation in fish volume measurement. This study examined the principles and physics of a multi-neck Helmholtz resonance in water, where the target measurement object was lighter or denser than that of the water medium. In order to carry out this experiment, glass balls which are denser than water were used and air was used as a less dense medium. A Helmholtz device was created to analyze this relationship. Finally, as proof of concept, we measured the Helmholtz resonance of model fish of varying volume to demonstrate the possibility of application of measurement in water in a multi-neck Helmholtz resonator.