A computer vision approach for detection and quantification of feed particles in marine fish farms

2014 ◽  
Author(s):  
Kristoffer Rist Skoien ◽  
Morten Omholt Alver ◽  
Jo Arve Alfredsen
Keyword(s):  
Computer Vision ◽  
Marine Fish ◽  
Fish Farms ◽  
Detection And Quantification

scholarly journals Histamine Level in Freshwater and Marine Fish Sold in Bulgarian Markets

2020 ◽  
Author(s):  
D. Bangieva ◽  
D. Stratev ◽  
T. Stoyanchev
Keyword(s):  
Marine Fish ◽  
Enzyme Linked Immunosorbent Assay ◽  
Fish Farms ◽  
Histamine Concentration ◽  
Microbial Decomposition ◽  
Fish Samples ◽  
Low Levels ◽  
Processing And Storage ◽  
Seafood Processing ◽  
And Storage

Background: Histamine is an essential biogenic amine produced as a result of microbial decomposition of histidine during seafood processing and storage. The objective of this study was to evaluate histamine concentration in freshwater and marine fish marketed in Stara Zagora region, Bulgaria. Methods: Forty fish samples were purchased from local fish farms and retail stores in Stara Zagora, Bulgaria. Enzyme-Linked Immunosorbent Assay was used to determine histamine levels. The data were processed using GraphPad Software InStat 3. Results: Histamine was detected in 26 out of 40 (65%) samples, and none of them exceeded the regulatory limit of 200 mg/kg. The average histamine content in marine fish (6.965±3.187 mg/kg) was insignificantly (p>0.05) higher than that in freshwater fish (4.503±1.133 mg/kg). Conclusion: The results reveal low levels of histamine in freshwater and marine fish indicating their good quality. However, its presence in seafoods remains a major food safety problem that requires permanent regulation of histamine concentration in fish.  

Assessing changes in the toxicity of effluents from intensive marine fish farms over time by using a battery of bioassays

2018 ◽  
Vol 25 (13) ◽  
pp. 12739-12748 ◽  
Author(s):  
Carlos Carballeira ◽  
Alesandra Cebro ◽  
Rubén Villares ◽  
Alejo Carballeira
Keyword(s):  
Marine Fish ◽  
Fish Farms ◽  
Over Time ◽  
Battery Of Bioassays

δ15N values of macroalgae as an indicator of the potential presence of waste disposal from land-based marine fish farms

2012 ◽  
Vol 25 (1) ◽  
pp. 97-107 ◽  
Author(s):  
Carlos Carballeira ◽  
Inés G. Viana ◽  
Alejo Carballeira
Keyword(s):  
Waste Disposal ◽  
Marine Fish ◽  
Fish Farms

Computer vision and robotics techniques in fish farms

Robotica ◽  
2003 ◽  
Vol 21 (3) ◽  
pp. 233-243 ◽  
Author(s):  
J. R. Martinez-de Dios ◽  
C. Serna ◽  
A. Ollero
Keyword(s):  
Computer Vision ◽  
Stereo Vision ◽  
Low Cost ◽  
Fish Farm ◽  
Weight Estimation ◽  
Fish Farms ◽  
Fish Feeding ◽  
Fish Weight ◽  
Processing Algorithms ◽  
And Robotics

This paper presents new low-cost systems for the automation of some fish farm operations. Particularly, computer vision is applied to non-contact fish weight estimation. Stereo vision systems with synchronised convergent cameras are employed to perform fish 3-D segmentation in tanks and sea cages. Several pre-processing algorithms are applied to compensate for illumination local variations. The approach applied for fish 3-D segmentation consists in detecting in both images certain fish features. Once these points have been detected and validated in both images, the fish are 3-D segmented by applying stereo vision matching considerations. Fish weight is estimated by using simple length-weight relations well known in the aquaculture domain. The paper also briefly describes robotics systems for fish feeding and underwater pond cleaning, which can be also used to implement the above mentioned computer vision techniques for the fish estimation.

Designing an integrated environmental monitoring plan for land-based marine fish farms located at exposed and hard bottom coastal areas

2012 ◽  
Vol 14 (5) ◽  
pp. 1305 ◽  
Author(s):  
C. Carballeira ◽  
J. Ramos-Gómez ◽  
M. L. Martín-Díaz ◽  
T. A. DelValls ◽  
A. Carballeira
Keyword(s):  
Environmental Monitoring ◽  
Marine Fish ◽  
Coastal Areas ◽  
Fish Farms ◽  
Monitoring Plan
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