Aquacultural Engineering最新文献

{"title":"Design considerations for a continuous mussel farm in New England Offshore waters. Part I: Development of environmental conditions for engineering design","authors":"Richards C. Sunny ,&nbsp;David W. Fredriksson ,&nbsp;Igor Tsukrov ,&nbsp;Longhuan Zhu ,&nbsp;Matthew Bowden ,&nbsp;Michael Chambers ,&nbsp;Bill Silkes","doi":"10.1016/j.aquaeng.2024.102476","DOIUrl":"10.1016/j.aquaeng.2024.102476","url":null,"abstract":"<div><div>Sustainable aquaculture in nearshore waters faces challenges such as stakeholder conflicts, environmental pollution, and spatial constraints. Offshore aquaculture offers a promising solution but requires robust engineering design to withstand extreme weather conditions. This study develops the environmental conditions essential for engineering the design of a continuous mussel dropper system in New England offshore waters. A potential farm location was identified using criteria including water depth, federal boundaries, seafloor suitability, farm size, and proximity to ports, based on bathymetric and sedimentary maps. Historical data from five wave monitoring stations and two current velocity stations were analyzed to model extreme environmental conditions, as waves and currents pose primary threats. The extreme wave and current conditions are modeled using the Weibull distribution, on the annual maximum hourly significant wave height data and the largest 0.3 % of current speeds. A newly proposed method combining Spalding’s wall function with a fourth-order polynomial is used to enhance the current profile analysis. Additionally, a joint probability density function was developed for wave height and current velocity at a specific depth, providing insights into wave height, period, and wavelength for various return periods such as 10, 25, 50, and 100 years. The results suggest a 10-yr wave of 8 m significant wave height and a current speed of 1.68 m/s, while a 50-yr values are 9.4 m and 1.96 m/s respectively. These findings offer critical data on extreme wave and current conditions in New England’s offshore waters, providing practical guidance for the engineering design of offshore mussel farms. This research advances offshore mussel farming and benefits the development of all types of offshore aquaculture systems.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102476"},"PeriodicalIF":3.6,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can air nanobubbles improve the swim bladder inflation in developing European perch? A pilot study of advanced water treatment.","authors":"Tatyana Gebauer ,&nbsp;Deepali Rahi Roy ,&nbsp;Thora Lieke ,&nbsp;Jamilya Gusseinova ,&nbsp;Alexander Rebl ,&nbsp;Radek Gebauer ,&nbsp;Vlastimil Stejskal","doi":"10.1016/j.aquaeng.2024.102475","DOIUrl":"10.1016/j.aquaeng.2024.102475","url":null,"abstract":"<div><div>Swim bladder inflation (SBI) is a fundamental step in larval development for both physostome and physoclist fish species. Failure of the SBI triggers higher energy expenditures of the individual, which negatively affects swimming ability, growth rate, feeding efficiency, susceptibility to predation, and survival rate. In aquaculture, the SBI failure is caused by different factors including: (a) water contamination with oil increasing the surface water tension and preventing the larvae from gulping air bubbles for inflation, and (b) bacterial aerocystitis of the swim bladder caused by gulped organic debris. Hence, novel and effective water treatment technologies such as nanobubbles can be employed in aquaculture to reduce the risk of low SBI. In the present study, we compared conventional water treatment, <em>i.e.</em> surface spray combined with skimmers with air nanobubbles either alone or in combination, on the SBI of European perch larvae. In the control, no water treatment technology was employed. All treatments showed higher SBI efficiency compared to the control. The control group showed the lowest percentage of swim bladder-inflated individuals associated with low body weight (BW). The highest BW and SBI efficiency was recorded with the combination of surface skimmer, spray, and nanobubbles. The current study offers the first investigation of the nanobubbles' effect on SBI promotion in larvae of European perch and gives motivation for future optimizations.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102475"},"PeriodicalIF":3.6,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal aquarium shape for rearing male Siamese fighting fish (Betta splendens)","authors":"Karun Thongprajukaew ,&nbsp;Saowalak Malawa ,&nbsp;Nutt Nuntapong ,&nbsp;Waraporn Hahor","doi":"10.1016/j.aquaeng.2024.102474","DOIUrl":"10.1016/j.aquaeng.2024.102474","url":null,"abstract":"<div><div>The aggressive behavior of male Siamese fighting fish (<em>Betta splendens</em>) necessitates their rearing in isolation in small aquaria. For intensive production, the major concerns are growth promotion and feed utilization. The small aquaria are connected to save space but little is known about the suitable characteristics of aquaria for this species. In this study, solid-red male Siamese fighting fish (0.57–0.58 g body weight) were individually housed in aquaria that had square (SQ), rectangular (RE), equilateral triangular (ET), or right triangular (RT) cross sections. The water in the aquaria had the same depth (6 cm) and volume (180 mL). At the end of the eight-week trial, fish housed in the ET and RT aquaria exhibited superior growth rate and feed utilization to fish housed in SQ or RE aquaria (<em>P</em> &lt; 0.05). No differences in morphometrics, skin coloration, muscle quality, and whole-body composition were observed. Protein- and lipid-digesting enzyme activities, as well as amylase/trypsin ratios, indicated differences in feed utilization that were correlated with aquarium shape. The findings of our study indicated that the triangular aquaria were more suitable for rearing this fish in isolation. This study could be used as an animal protocol for experimental set-up, to improve betta fish farm management, and also for the development of intensive farming systems for this species.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102474"},"PeriodicalIF":3.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anomalous white shrimp detection in intensive farming based on improved YOLOv8","authors":"Xun Ran ,&nbsp;Beibei Li ,&nbsp;Yuhang Zhang ,&nbsp;Mingrui Kong ,&nbsp;Qingling Duan","doi":"10.1016/j.aquaeng.2024.102473","DOIUrl":"10.1016/j.aquaeng.2024.102473","url":null,"abstract":"<div><div>Timely detection of anomalous shrimp is crucial for ensuring farming safety. Therefore, this study developed an effective model to detect abnormal shrimp behaviors, including curling, floating, leaping, cannibalism, and death. The proposed model uses YOLOv8 as the baseline, adjusts network parameters to align with the characteristics of abnormal shrimp, employs content-aware reassembly of features (CARAFE) to preserve more semantic information, and utilizes dynamic convolution to enhance the network's expressiveness. Achieving a 97.8 % mAP_@0.5 and 96.1 % F1 score on a custom dataset, the model demonstrated superior detection performance and a smaller size compared with Faster-RCNN, single-shot multi-box detector (SSD), YOLOv5, YOLOv6, and YOLOv7. Based on the proposed model, we developed an abnormal shrimp monitoring system with significant potential to benefit white shrimp cultivators.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102473"},"PeriodicalIF":3.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of a stress related acoustic signature by passive acoustic monitoring in Atlantic salmon farming","authors":"Kristbjörg Edda Jónsdóttir ,&nbsp;John Reidar Mathiassen ,&nbsp;Eirik Svendsen ,&nbsp;Carolyn Mary Rosten ,&nbsp;Nina Bloecher ,&nbsp;Martin Føre ,&nbsp;Rolf Erik Olsen ,&nbsp;Bengt Finstad ,&nbsp;Zsolt Volent","doi":"10.1016/j.aquaeng.2024.102472","DOIUrl":"10.1016/j.aquaeng.2024.102472","url":null,"abstract":"<div><div>Crowding is a necessary operation for moving fish out of or between sea cages in Atlantic salmon farming. These operations consist of gradually reducing available volume in the nets to increase the biomass density. This is known to stress the fish, increase risk of injury, and can in extreme cases increase mortality rates. To reduce the negative impacts of crowding, the operation must be adjusted based on real-time monitoring of fish welfare. Today, this is mainly done by manually monitoring surface activity, as the high fish density limits the use of available tools. In this paper a new approach for monitoring was applied to crowding of meso-scale cages containing 40 fish each, using automatic detection of passive acoustic signatures. Four synchronised hydrophones were deployed and the acoustic signature was defined from the recordings. The automatic detection algorithm recorded an extreme increase in registered acoustic events during crowding, as high as 1000 events per 10 min period, compared to only 20 events per 10 min period on the day following crowding. Correlating the number of acoustic events to recorded heart rate and activity measures from implants in the salmon indicate that automatically registering acoustic events is a promising method for monitoring farmed fish.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102472"},"PeriodicalIF":3.6,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fish behavior recognition based on an audio-visual multimodal interactive fusion network","authors":"Yuxin Yang ,&nbsp;Hong Yu ,&nbsp;Xin Zhang ,&nbsp;Peng Zhang ,&nbsp;Wan Tu ,&nbsp;Lishuai Gu","doi":"10.1016/j.aquaeng.2024.102471","DOIUrl":"10.1016/j.aquaeng.2024.102471","url":null,"abstract":"<div><div>In light of the challenges imposed by fish behavior recognition, which arise from environmental noise and dim lighting in aquaculture environments and adversely affect the effectiveness of unimodal recognition methods based on either sound or visual cues, this paper proposes a fish behavior recognition model, Mul-SEResNet50, based on the fusion of audio and visual information. To address issues such as image blurring and indistinct sounds in aquaculture environments, which hinder the effectiveness of multimodal fusion and complementary modalities, a multimodal interaction fusion (MIF) module is introduced. This module integrates audio-visual modalities at multiple stages to achieve a more comprehensive joint feature representation. To enhance complementarity during the fusion process, we designed a U-shaped bilinear fusion structure to fully utilize multimodal information, capture cross-modal associations, and extract high-level features. Furthermore, to address the potential loss of key features, a temporal aggregation and pooling (TAP) layer is introduced to preserve more fine-grained features by extracting both the maximum and average values within pooling regions. To validate the effectiveness of the proposed model, both ablation experiments and comparative experiments are conducted. The results demonstrate that Mul-SEResNet50 achieves a 5.04 % accuracy improvement over SEResNet50 without sacrificing detection speed. Compared to the state-of-the-art U-FusionNet-ResNet50 +SENet model, Mul-SEResNet50 achieves accuracy and F1 score improvements of 0.47 % and 1.32 %, respectively. These findings confirm the efficacy of the proposed model in terms of accurately recognizing fish behavior, facilitating the precise monitoring of fish behavior.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102471"},"PeriodicalIF":3.6,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multilevel lightweight fish respiratory frequency measurement method – Segmentation instead of detection","authors":"Shili Zhao ,&nbsp;Jiamin Lu ,&nbsp;Song Zhang ,&nbsp;Xuefei Li ,&nbsp;Chen Shi ,&nbsp;Daoliang Li ,&nbsp;Ran Zhao","doi":"10.1016/j.aquaeng.2024.102470","DOIUrl":"10.1016/j.aquaeng.2024.102470","url":null,"abstract":"<div><div>Respiratory frequency is an important physiological parameter for fish health. Traditional respiration detection methods have inherent frequency measurement error problems, and segmentation provides an innovative technique for respiration measurement. By shifting the focus from detection to segmentation, this approach provides robust and reliable support for measuring fish respiratory frequency accurately. However, the existing segmentation network models face challenges related to their large scale, high computational demands, and limited deployability at the edge. To overcome these challenges, this paper introduces an easily portable, high-precision segmentation method based on lightweight network and network slimming technique, named PM-YOLOv5s-seg (Prune MobileNetv3-YOLOv5s Segmentation). PM-YOLOv5s-seg utilizes the MobileNetv3 network as its segmentation backbone, enabling the extraction of essential fish mouth features. Simultaneously, it employs depth separable convolution to reduce network parameters and calculation amounts. Furthermore, the model undergoes additional sparsification via channel pruning, significantly improving its efficiency. Finally, respiratory frequency modeling is performed on the obtained fish mouth segmentation results, utilizing innovative techniques such as Ellipse fitting, Kalman filtering, and polynomial fitting methods. Comparison with the state-of-the-art methods demonstrates the superiority of the multilevel lightweight segmentation model PM-YOLOv5s-seg in terms of detection accuracy, computational efficiency, and model size. This model achieves an optimal balance between the speed and accuracy in fish respiratory frequency measurement, which holds significant implications for fish welfare as well as disease detection.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102470"},"PeriodicalIF":3.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of various carbon and nitrogen ratios in a jaggery-based biofloc rearing system on the Asian stinging catfish Heteropneustes fossilis","authors":"Prasenjit Mali ,&nbsp;Swagat Ghosh ,&nbsp;Gadadhar Dash ,&nbsp;Supratim Chowdhury","doi":"10.1016/j.aquaeng.2024.102469","DOIUrl":"10.1016/j.aquaeng.2024.102469","url":null,"abstract":"<div><div>Biofloc technology (BFT) is becoming popular in aquaculture. As the human population has rapidly increased, so has the demand for protein, driving the expansion of aquaculture. The increased use of aqua medicines in aquaculture has led to resistant microbes. BFT offers a promising, eco-friendly solution by promoting beneficial microbes to improve fish health and reduce chemical use, supporting the industry's long-term sustainability. BFT recycles waste without water exchange by maintaining an optimal carbon-nitrogen (C:N) ratio and adding an external carbon source, which promotes the growth of heterotrophic bacteria and other essential microbes that absorb ammonia from feed and waste, forming beneficial microbial aggregates. This study evaluated the effects of various C:N ratios in a jaggery-based BFT system on water quality, growth, feed efficiency, and the well-being of <em>Heteropneustes fossilis</em>. A completely randomized design with triplicates (2.33 kg/m³ in 1500 L tanks) was used to compare a control group without biofloc to three BFT treatments with C:N ratios of 8:1 (CN8), 12:1 (CN12), and 16:1 (CN16) over 180 days. Daily feeding was conducted at 5–2 % of the fish's body weight (initial weight of 5.0±0.5 g). Higher C:N ratios were linked to reduced dissolved oxygen, ammonia, and nitrite levels, alongside increased total suspended solids, floc volume, and heterotrophic bacteria counts, while the CN12 had the highest levels of beneficial microbes (Firmicutes and Actinobacteria), leading to superior fish growth, survival, and biomass compared to CN8 and CN16. The CN12 also showed better stress response, hematology, immunity, and antioxidant properties. Histologically, fish in CN12 and CN8 had healthier liver and intestines compared to CN16 and control. The results suggest that a C:N ratio of 12:1 was optimal for biofloc systems used in cultivating <em>H. fossilis</em>, enhancing both microbial growth and water quality.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102469"},"PeriodicalIF":3.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an image binarization software tool for net occlusion estimations","authors":"R. Cappaert ,&nbsp;W. Yang ,&nbsp;D.J. Ross ,&nbsp;C. Johnston ,&nbsp;C. MacLeod ,&nbsp;C.A. White","doi":"10.1016/j.aquaeng.2024.102466","DOIUrl":"10.1016/j.aquaeng.2024.102466","url":null,"abstract":"<div><p>Marine biofouling poses a set of challenges to the salmon aquaculture industry, where an accumulation of biota on pens can lead to significant net mesh occlusion. This can reduce flow rates, risking oxygen depletion. The industry currently manages this challenge through regular cleaning of nets, with sporadic manual visual estimations of net occlusion an important but time-consuming task. This study developed a simple automated desktop application to more regularly and more robustly quantify pen net occlusion caused by biofouling. This software application pre-processes and binarizes images collected from cameras currently used by the industry into water and non-water pixels. The percentage of net occlusion is then calculated from the binary image. Accurate binarization of representative images was achieved by training a deep learning network on images collected <em>in situ</em>. The resulting network attained a validation accuracy of 96.4 % and a mean test accuracy of 93.5 %. From the test images, 98.3 % of pixels annotated as non-water and 88.8 % of pixels annotated as water were correctly classified by the network. This automated tool has the capacity to better inform industry and create a more efficient cleaning framework based on the needs of individual pens, based on data that can be more readily obtained as compared to manual net inspections.</p></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102466"},"PeriodicalIF":3.6,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0144860924000773/pdfft?md5=f554a28d1f31b73646b7bda6a1559b7d&pid=1-s2.0-S0144860924000773-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142271351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of the efficiency of different commercial depuration systems and the evaluation of species-specific depuration conditions in bivalve mollusc production","authors":"İbrahim Ender Küni̇li̇","doi":"10.1016/j.aquaeng.2024.102468","DOIUrl":"10.1016/j.aquaeng.2024.102468","url":null,"abstract":"<div><p>This study assesses and compares the efficiency of three commercial depuration systems for live bivalve mollusc production. <em>Ruditapes philippinarum</em> (Rp), <em>Ruditapes decussatus</em> (Rd), <em>Donax trunculus</em> (Dt), and <em>Venus verrucosa</em> (Vv) were used as research materials to evaluate full open (FO), semi-closed (SC), and closed cycle (CC) systems. Results reveal a logarithmic decrease in <em>Escherichia coli</em> levels during the initial six hours across all species. Rd achieved full depuration after 12 hours in the CC system and 24 hours in the FO system; Vv required 18 hours, while others needed up to 24 hours. At the 4600 MPN/100 g level, the CC system fortified by an ozone generator showed the most efficient depuration with the following results: 18 hours for Rp and Vv, 24 hours for Rd, and 36 hours for Dt. The SC system prolonged depuration times for all species. Species-specific filtration behaviour emerged as a crucial factor during contamination and depuration rates. Statistical analysis highlighted pH, dissolved oxygen, and salinity as key parameters influencing depuration efficiency, with temperature showing lesser significance compared to other variables for effective species-specific system design. This study focuses on identifying the parameters affecting the depuration characteristics of different bivalve species and commercial systems, and predicting the effects of potential changes. The findings are expected not only to enhance scientific understanding in this field but also to contribute to the system designs and adaptation of existing businesses to various conditions.</p></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"107 ","pages":"Article 102468"},"PeriodicalIF":3.6,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}