Predicting salmon biomass remotely using a digital stereo-imaging technique

Abstract Effective fish farm management requires accurate information on fish biomass in order to control feeding regimes, stocking densities and ultimately the optimum time to harvest the stock. Current methods for biomass estimation are deemed inaccurate and may also be stressful to the fish. Therefore, the ability to remotely predict fish weight and biomass was tested using a non-invasive, digital stereo-camera system. The camera system was arranged in a vertical set-up, which grabbed images of fish viewed from the side. Specific combinations of fin-fin, body depth and length dimensions, visible from side views of fish, were measured from stereo-images and these estimates were incorporated into a series of multifactor regression equations that were used to predict weight. Biomass of Atlantic salmon (Salmo salar L.) was estimated to within 0.4% of the real value and individual weight was determined with an error of −0.1 ± 9.0%. Thus, the results from this study suggest that biomass can be predicted with a high degree of accuracy using a stereo-camera system, and the method has the advantage of greatly reduced stress levels in fish, compared with current biomass estimation techniques.

[1]  Lê Văn Long,et al.  A stereo photographic method for measuring the spatial position of fish. , 1985 .

[2]  Daniel Boisclair,et al.  An evaluation of the stereocinematographic method to estimate fish swimming speed , 1992 .

[3]  A. Løvik.  Biomass Estimation in Aquaculture Facilities , 1987 .

[4]  B. Riddell,et al.  Morphological Differences between Hatchery and Wild Populations of Coho Salmon (Oncorhynchus kisutch): Environmental versus Genetic Origin , 1991 .

[5]  C B Schreck,et al.  Stress alters immune function and disease resistance in chinook salmon (Oncorhynchus tshawytscha). , 1989, The Journal of endocrinology.

[6]  A. D. Pickering,et al.  Changes in the concentrations of plasma cortisol and thyroxine during sexual maturation o the hatchery-reared brown trout, Salmo trutta L. , 1981, General and comparative endocrinology.

[7]  I. Aoki,et al.  Photographic observations on the behaviour of Japanese anchovy Engraulis japonica at night in the sea , 1988 .

[8]  M. G. Poxton,et al.  The Remote Estimation of Weight and Growth in Turbot Using Image Analysis , 1987 .

[9]  Lindsay G. Ross,et al.  Predicting biomass of Atlantic salmon from morphometric lateral measurements , 1996 .

[10]  J. R. Irvine,et al.  Evaluation of a Method to Count and Measure Live Salmonids in the Field with a Video Camera and Computer , 1991 .

[11]  Robert Eugene Boyce.  Simple scale determination on underwater stereo pairs , 1964 .

[12]  Wang JawKai.  Techniques for modern aquaculture. , 1993 .

[13]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[14]  A. Klimley,et al.  Stereophotography for the field biologist: measurement of lengths and three-dimensional positions of free-swimming sharks , 1983 .

[15]  H. Reinersten,et al.  Fish Farming Technology , 1993 .

[16]  H. A. Baldwin,et al.  Methods for measuring the three-dimensional structure of fish schools. , 1965, Animal behaviour.