Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2026Scopus SJRQ1/r/munzur/1519
  Innovative solutions for aquaculture: detecting fish diseases with hybrid deep learning model and explainable artificial intelligence

  Utku, Anıl; Barut, Abdulkadir; Alofaysan, Hind

  Early identification of fish diseases is critical to maintain aquaculture and minimize its financial burden. In the diagnosis of diseases, time is critical and scientists’ experience is imperative, which makes the artificial intelligence-based models necessary. It is intended by this study to integrate deep learning with explainable artificial intelligence methods to establish an artificial intelligence-powered framework for early detection of disease in fish. In this study, we developed a hybrid artificial intelligence system designed to detect diseases in freshwater fish by analyzing skin images. The primary objectives of the system are to minimize economic losses, prevent further disease spread, and ultimately increase aquaculture productivity. For this purpose, we used a dataset consisting of images from seven different disease categories, with 250 images in each class. A new hybrid model, Residual Network-50–Vision Transformer, was developed by integrating the strengths of Residual Network-50 and Vision Transformer architectures to improve classification accuracy. The proposed model was subjected to rigorous comparison with established architectures, including Visual Geometry Group 16, Mobile Convolutional Neural Network Version 2, Efficient Neural Network–Baseline Model B0, standalone Vision Transformer, and the original Residual Network-50. The results demonstrated that Residual Network-50–Vision Transformer outperformed the model, achieving an impressive 99.14% accuracy rate. Furthermore, the study employed local interpretable model-independent explanations to explain which image features most significantly influence the model’s classification decisions, thereby enhancing the interpretability and confidence in the model’s output. The application of such advanced image processing models in combination with explainable AI techniques demonstrates significant potential to support sustainable aquaculture by reducing disease outbreaks and associated financial losses.

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  AtıfScopus3·OpenAlex2

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• MakaleYalnız künye2019Scopus SJRQ2/r/munzur/3527
  Investigation of the anti-apoptotic activity of ozone therapy in rainbow trout macrophages infected with Yersinia ruckeri

  Küçükgül, Azime; Küçükgül, Altuğ; Gönenci, Ramazan; Özsoy, Şule Yurdagül; Kutlu, Banu; Işgör, Mehmet Mustafa

  Yersinia ruckeri is the causal agent of enteric redmouth (ERM) in trout. This study aimed to investigate the effectiveness of nontoxic ozone on Y. ruckeri-infected trout cells in in vitro conditions. Rainbow trout macrophages (RTS-11) were exposed to Y. ruckeri for 24 h after being incubated with the ozonized medium at nontoxic concentration. Effective concentrations of nontoxic ozone (3 gamma) and bacteria (1.5 x 108 cfu/mL) were determined by viability tests. The expression of caspases 1, 3, 8, and 12 was determined by real-time PCR and protein levels investigated by ELISA method. Apoptotic-necrotic cell ratios were determined by acridine orange and ethidium bromide staining. Bacterial stimulations of caspases (1, 3, 8, and 12) were suppressed by ozone mostly at the translational level. While bacterial infection increased the count of apoptotic and necrotic cells at different stages, ozone significantly reduced this condition. Obtained data indicate possible use of nontoxic ozone as a safe and effective treatment alternative for increasing host defenses and eliminating the infection in the case of yersiniosis in fish.

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  AtıfWoS1·OpenAlex3

  İncele
• MakaleYalnız künye2017Scopus SJRQ2/r/munzur/3891
  Effect of temperature and nitrogen concentration on the growth and lipid content of Spirulina platensis and biodiesel production

  Seyhaneyildiz Can, Safak; Koru, Edis; Cirik, Semra

  In this study, Spirulina platensis (Cyanophyceae) was cultured at five mediums with different amounts of sodium nitrate and three different temperatures. The study was conducted at 1600 lx light intensity and a pH value of 9. The influences of nitrate amounts and temperature on biomass growth and lipid amount were studied during 20 days. The best biomass growth (1.039 ± 0.668 g L−1 dry weight and 0.780 ± 0.501 optical density) for S. platensis was obtained from the group with the temperature value of 35 °C and 2.5 g L−1 of sodium nitrate. The highest lipid production (4.70 ± 0.067% dry weight) was in the nitrate-free medium at 15 °C. The best results for biomass growth and lipid production were obtained from the group at 35 °C and 1.25 g L−1 of sodium nitrate (P < 0.05). At the end of the study, it was determined that algal biomass increased with increasing the nitrate amount but the produced lipid by the algae decreased. Intensive production was performed in accordance with the culture conditions of the most productive groups and biodiesel was obtained from the algae. The density, viscosity, and flash point of the biodiesel were calculated as 0.78, 4.67, and 107 °C, respectively.

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  AtıfScopus34·WoS27·OpenAlex35

  İncele
• MakaleÖn baskısı açık2013Scopus SJRQ2/r/munzur/4538
  Effect of dietary n-3 series fatty acids on sperm production in the freshwater crayfish, Astacus leptodactylus (Eschscholtz) (Astacidae)

  Harlioglu, Muzaffer Mustafa; Köprücü, Kenan; Harlioglu, Ayse Gul; Yonar, Serpil Mise; Duran, Tuba Cakmak; Çakmak, Mehmet Nuri; Aksu, Onder; Özcan, Sinan; Kutluyer, Filiz; Gündogdu, Hande

  The objective of the present work was to evaluate the effects of three different rates of long chain n-3 polyunsaturated fatty acid (LC n-3 PUFA) on the sperm number of Astacus leptodactylus. The experiment was carried out with the four following treatments: control group (not supplemented LC n-3 PUFA), D1 (1 %), D2 (2 %) and D3 (3 %). The sperm number of A. leptodactylus was counted; the reproductive system was weighted; and the macroscopical analysis of the testes and vasa deferentia (DVD) were conducted. In addition, gonado-somatic index (GI) and testes index (TI) were also calculated. The results showed that there was a significant difference between the crayfish fed LC n-3 PUFA supplemented diets (D1, D2, D3) and control in mean sperm number (P < 0.05). The highest sperm number was found for the crayfish fed D3 (6.27 +/- A 0.14 x 10(8) sperm/distal vas deferens section). The results also showed that the reproductive system of the crayfish fed D3 and D2 was significantly heavier than that of the crayfish fed the control and D1 (P < 0.05). On the other hand, there was not a significant difference in the testes weight and vasa deferentia weight between the crayfish fed the control and D1, and between the crayfish fed D2 and D3 (P < 0.05). GI of the crayfish fed D3 and D2 was significantly higher than that of the crayfish fed control and D1 (P > 0.05), but there was not a significant difference in the TI of the crayfish fed control, D1, D2 and D3 (P > 0.05). In conclusion, diets containing different levels of LC n-3 PUFA significantly increase the sperm number of A. leptodactylus, and they are crucial for the production of higher number of sperm in this species.

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  AtıfWoS30·OpenAlex34

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