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This study was carried out to determine the age, growth, mortality rate, and exploitation rate of Redcoat, Sargocentron rubrum from Iskenderun Bay, Northeastern Mediterranean. A total of 331 individuals were examined by sampling monthly from September 2017 to August 2018 in the years. The examined samples were 143 (43.20%) females and 188 (55.13%) males. S. rubrum specimens ranged from 10.0 to 21.5 cm, TL with an average of 16.07 +/- 0.12 cm and from 17.40 to 196.016.86 g, TW with an average of 85.04 +/- 2.05 g. The age ranged from 1 to 4 years for females and males and the 3 age group was dominant in the population. The minimum length was found as 10.00 cm for 1 age group while the maximum length was found as 21.50 cm for 4 age group. The mean length at the end of each year of life for all individuals of S. rubrum was calculated 11.78, 14.52, 16.39, and 19.07 cm for 1(st), 2(nd), 3(rd), and 4(th), years of life respectively. The length-weight relationships were computed for female, male and combined sexes respectively as; W= 0.0129xL(3.1453), R-2= 0.968, W= 0.0118xL(3.1742), R-2= 0.966 and W= 0.0124xL(3.1576), R-2= 0.967. von Bertalanffy growth parameters were estimated as L-infinity= 35.64 cm, K= 0.110 year(-1), t(0)= -1.015 years for females, L-infinity= 35.36 cm, K= 0.112 year-(1), t(0)= -1.065 years for males, and as L-infinity= 35.53 cm, K= 0.113 year(-1), t(0)= -1.112 years for combined sexes. The growth performance index (o') was found to be 2.149 for combined sexes and the obtained growth performance index for this study was compared with those reported by different authors. Fulton's condition (CF) factor values were determined 1.933 for females and 1.923 for males of S. rubrum. The total mortality rate (Z) of the S. rubrum individuals was 1.38, the natural mortality rate (M) was 0.99, and the fishing mortality rate (F) was determined to be 0.39. The exploitation ratio (E) was calculated as 0.28, and this result revealed that the S. rubrum population was not over-exploited. The comprehensive biological characteristics of this species for the first time have been examined in the Northeastern Mediterranean, Turkey. Thus, this study will provide an important contribution to the science and fisheries management applications for this species.

A single specimen of the whiskered sole Monochirus hispidus (Rafinesque, 1814) was caught at a depth of 24 m from Tasucu, Mersin Bay (North-eastern Mediterranean, Turkey) in the winter season on February 2019. The present paper reports the first occurrence and is the confirmation of the whiskered sole M. hispidus from Mersin Bay, Turkey (North-eastern Mediterranean Sea). Since it was recorded only once in the last twenty-six years this species could be considered as exceptionally rare in the easternmost area of the Mediterranean Sea, Turkey.

In the present study, length–weight relationships (LWRs) were estimated for three deep sea fish species, namely, Nettastoma melanura Rafinesque, 1810; Lampanyctus crocodilus (Risso, 1810); and Chauliodus sloani Bloch & Schneider, 1801 in the north-eastern Mediterranean Sea. A total of 102 fish samples were collected from Mersin Bay (Erdemli coast). Their length–weight relationship b values ranged between 2.458 and 3.496, and all regressions were found to be significant for all three species (p

Johann Heinrich von Thunen-Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries began publishing the Informationen aus der Fischereiforschung – Information on Fishery research in 2010

Περίληψη: Τεχνικές επεξεργασίας εικόνας χρησιμοποιούνται συχνά στη βιομηχανία για τον ποιοτικό έλεγχο προϊόντων. Η πολυπλοκότητα τους καθιστά απαραίτητη την αναζήτηση μεθόδων επιτάχυνσης των τεχνικών αυτών σε hardware ώστε να είναι εφικτή η χρήση τους σε ενσωματωμένα συστήματα πραγματικού χρόνου με μικρή κατανάλωση ενέργειας. Ένα τέτοιο πρόβλημα μελετά η παρούσα διπλωματική, καθώς αναζητούνται τεχνικές οι οποίες θα οδηγήσουν στην ανίχνευση οπών σε δίχτυα ιχθυοκαλλιεργειών. Στόχος της παρούσας διπλωματικής είναι η σχεδίαση ενός ενσωματωμένου συστήματος πραγματικού χρόνου με χαμηλό χρόνο εκτέλεσης και κατανάλωση ενέργειας. Αφού μοντελοποιήθηκαν αλγόριθμοι που χρησιμοποιούν Template Matching και Edge Detection σε Matlab, έγιναν πειράματα για να διαπιστωθεί κατά πόσο είναι εφικτή η χρήση τους σε ένα τέτοιο πρόβλημα. Έπειτα υλοποιήθηκαν σε FPGA για την εξαγωγή συμπερασμάτων όσο αφορά την κατανάλωση ενέργειας, την απαιτούμενη δέσμευση πόρων και το συνολικό χρόνο εκτέλεσης. Summarization: Image processing techniques are used by the industry for the quality control of the products. Their complexity demands research on methods that can accelerate these techniques on hardware and make possible their use on real time embedded systems with low power consumption. This thesis diploma studies image processing methods for the detection of holes on fish farming nets. The main purpose of this thesis is to design a real time embedded system with low execution time and power consumption. Once implemented algorithms that use Template Matching and Edge Detection techniques, we studied them experimentally using Matlab to detect if they can be used for this purpose. Then we implemented our algorithms on FPGA and checked their demands on resources, power consumption and total execution time.