Fishery Industry Research Articles

Diurnal rhythm of carotenoid metabolism in the intertidal red algal seaweed Neoporphyra haitanensis

Biological rhythms governing metabolic and developmental processes are widespread in organisms, ranging from prokaryotic cyanobacteria to mammals and flower plants. Species of the genus Porphyra sensu lato (e.g., Porphyra, Pyropia, Neoporphyra, etc.) are major red algal seaweeds important to the marine fisheries industry in northeast Asia. Over a long evolutionary history, these seaweeds have adapted to the intertidal zone environment, which is characterized by periodic extreme stresses such as high light, high temperature, high salinity, and drought. However, very little is known about the rhythmic regulation of these seaweeds in response to the shifting environment. In this study, we entrained N. haitanensis thalli with a 12 h/12 h light/dark regime under constant temperature and light intensity, and analyzed the contents of carotenoid constituents and the transcript abundances of genes involved in carotenoid metabolism. Our results clearly demonstrated a 1.52 (zeaxanthin)–2.13 (β-carotene)-fold change between the highest and lowest amounts of carotenoids, and a 7.66 (NhCHYB)–224.00 (NhZISO)-fold change in the expression levels of genes, over the course of a day. These variations indicate that the fluctuations at both metabolic and transcriptional levels of carotenoid metabolism during the light/dark shifting are significant and cannot be neglected, highlighting the need to use a series of parallel non-treated controls instead of a pre-treatment control to avoid the potential confounding effects of the treatment and the diurnal rhythm.

Blue Economy and the Impact of Industrialisation on Sustainable Livelihoods: A Case Study of Fisheries in the North Coastal Region of Java

This research explores the impacts of the blue economy and industrialisation on sustainable livelihoods in the coastal areas of the North Coast of Java, with a particular focus on the fisheries sector.The main objective of this research is to analyse how changes in blue economy practices, which include sustainable marine resource management approaches, interact with industrialisation processes and their impact on the survival of local fishing communities.The research method used was qualitative with a case study approach, where data was collected through in-depth interviews with fishermen, government officials, and relevant stakeholders, as well as direct observation in the field. Data analysis was conducted using thematic analysis techniques to identify patterns and significant relationships between the factors involved.The results of this study show that industrialisation in the coastal areas of Java's North Coast has vital and complex impacts on the sustainable livelihoods of local fishing communities. On the one hand, industrialisation provides new economic opportunities, such as jobs in the fishing and manufacturing sectors, which can increase community income. However, on the other hand, negative impacts on the aquatic environment due to industrial activities and overexploitation of natural resources threaten the sustainability of the marine ecosystem, which is the main source of livelihood for fishermen.The managerial implications of these findings emphasise the need to integrate blue economy policies with the maturity of sustainable industrial development planning. Policy development that accommodates the needs of local ecosystems and fishing communities, with a pattern of regulating marine protected zones and supporting the shift to environmentally friendly fisheries practices, is key to ensuring the sustainability of fishers' livelihoods and healthy coastal ecosystems. This research provides important insights for policy makers and practitioners involved in marine fisheries resource management and industry development in coastal areas.

Evaluation of Capital Utilization Efficiency in Agricultural Listed Firms Based on a Three-Stage Data Envelopment Analysis

Rural revitalization is intricately tied to national prosperity, with listed companies in agriculture, forestry, animal husbandry, and fisheries playing pivotal roles in driving this transformative agenda. However, these sectors face critical challenges, notably resource constraints and environmental pressures, which underscore the necessity of evaluating capital utilization efficiency. This study employs a combined three-stage DEA model and Malmquist index to analyze capital utilization efficiency across 85 listed companies within China’s agriculture, forestry, animal husbandry, and fishery industries over the period 2018–2022. The primary objectives are to quantify capital utilization efficiency, identify pathways for industry optimization, advance ecological agricultural sustainability, and offer valuable insights to investors and policymakers. Key findings include: (1) When grouped by sub-sector and adjusted to account for external environmental factors and random disturbances, the initial comprehensive capital utilization efficiency in agricultural companies was found to be significantly overestimated. Subsequent third-stage adjustments revealed decreases in average comprehensive efficiency, technical efficiency, and scale efficiency by 29.79%, 3.03%, and 27.37%, respectively, largely driven by a marked decline in scale efficiency, ultimately diminishing overall efficiency. (2) The capital utilization efficiency in agricultural trading firms remains suboptimal, with scale efficiency posing a critical limitation. High dependency on government subsidies and excess specialized personnel further constrain efficiency improvements. (3) Dynamic analysis using the DEA-Malmquist model indicates low total factor productivity in the agricultural sub-sector, primarily due to inefficiencies in capital management and suboptimal scale allocation. These findings underscore the need for targeted strategies to enhance resource allocation and management, bolster talent development and financial management frameworks, and drive technological research and development, innovation, and efficient capital allocation across the agriculture, forestry, animal husbandry, and fishery sectors.

Potensi Pengembangan Industri di Kabupaten Dairi

Dairi Regency has a favorable geographical location, Sidikalang is the capital of Dairi Regency and has enormous industrial potential. The purpose of this study is to determine the potential for industrial development in Dairi Regency. The research method used is a qualitative research method that is library research using books and other literature as the main object. The results of the study show that geographical conditions, climate, and natural resources support various types of plants. The leading commodities are curly chilies, shallots, ginger, turmeric, corn, paddy fields, durian, Siamese oranges, Arabica coffee, and Robusta coffee. The potential for developing the fisheries industry with a focus on tilapia, carp, catfish, and jurung. The potential for developing tourism with ecotourism; trekking, mountain biking, observing flora and fauna, relaxing at Lake Toba. Agrotourism: visiting coffee, tea, orange plantations, learning about cultivation, then farming. Culinary and cultural tourism; art and cultural performances, cooking classes, culinary tourism. Travel history; King Silahi Sabungan Tomb Monument, Dairi Faith Tourism Park, Tao Silalahi. Religious tourism; Sidikalang Old Church, Sidikalang Grand Mosque.

Optimizing Formalin Detection in Fish Using QCM Sensors with TOMAC Membrane Coatings for Product Quality Monitoring

<span lang="EN-AU">Detection of formalin in fishery products is a significant concern in the food industry to ensure consumer safety. This study compared the performance of Quartz Crystal Microbalance (QCM) sensors without a membrane and with a Trioctyl methyl ammonium Chloride (TOMAC) membrane coating in detecting formalin in fish samples. The research findings indicate that QCM without a membrane for formalin samples has a lower detection limit of 150 ppm and an upper detection limit of 350 ppm with a sensitivity of 2194.171 Hz/ppm. On the other hand, QCM with a TOMAC membrane coating has a lower detection limit of 400 ppm and an upper detection limit of 550 ppm with a sensitivity of 842.7551 Hz/ppm. Meanwhile, QCM without a membrane for formalin in fish samples has a lower detection limit of 450 ppm and an upper detection limit of 650 ppm with a sensitivity of 15386.38 Hz/ppm. At the same time, QCM with a TOMAC membrane coating for formalin in fish samples has a lower detection limit of 350 ppm and an upper detection limit of 500 ppm with a sensitivity of 23108.9 Hz/ppm. Response time analysis shows that both sensors reach a steady state condition after 12 seconds. This study highlights the importance of selecting appropriate sensors for detecting formalin in fishery products, considering detection limits, sensitivity, and response time as crucial criteria. Thus, these findings can guide the fisheries industry in choosing effective and accurate formalin detection technology.</span>

Integrating resource-based and market-based views in the fisheries industry – CEO perspectives

Icelandic fisheries have been driven by access to natural resources, focused on fishing, processing, and selling products to wholesalers. The purpose of this study is to identify competitive advantage in the industry and find out how it is evolving within the perspective of resource-based view (RBV) and market-based view (MBV). In addition, this study is aimed at providing empirical evidence that can improve the understanding of competitive advantage in RBV and MBV perspectives in academic research. This study involves qualitative case studies based on in-depth elite interviews with chief executive officers (CEOs) of Icelandic fishing companies holding around 50% of the allowable national fishing quota. The findings suggest a transition from an RBV to an MBV to strengthen the competitive advantage of the industry. Key findings stress the significance of growth strategy, enhancing integration, value chain control, and brand development within the MBV perspective. Furthermore, the identified competitive advantage integrates strengths from the RBV with a market perspective for the fisheries industry. By considering these research views jointly, the understanding of companies' strategic behaviors and outcomes in a specific industry is expanded. This study offers, in addition, actionable insights and recommendation for top management and stakeholders in the Icelandic fishing industry, highlighting a shift from RBV to MBV strategies and underscoring the importance of internal resource integration for sustaining competitiveness. Moreover, the study proposes a model showing the prospective competitive advantage of the industry. Additionally, it contributes to the ongoing discussion on competitive advantage and provides valuable industry-specific insights. Limitation of this study is that it may not fully represent the entire fishing industry in Iceland and relies exclusively on the perspectives of CEOs.

Development of VIIRS-OLCI chlorophyll-a product for the coastal estuaries

Coastal waters require monitoring of chlorophyll-a concentration (Chl-a) in a wide range of Chl-a from a few mg/m3 to hundreds of mg/m3, which is of interest to the fisheries industry, evaluation of climate change effects, ecological modeling and detection of Harmful Algal Blooms (HABs). Monitoring can be carried out from the Visible Infrared Imaging Radiometer Suite (VIIRS) and Ocean and Land Colour Instrument (OLCI) Ocean Color (OC) satellite sensors, which are currently on orbit and are expected to be the main operational OC sensors at least for the next decade. A Neural Network (NN) algorithm, which uses VIIRS M3-M5 reflectance bands and an I1 imaging band, was developed to estimate Chl-a in the Chesapeake Bay, for the whole range of Chl-a from clear waters in the Lower Bay to extreme bloom conditions in the Upper Bay and the Potomac River, where Chl-a can be used for bloom detection. The NN algorithm demonstrated a significant improvement in the Chl-a retrieval capabilities in comparison with other algorithms, which utilize only reflectance bands. OLCI NIR/red 709/665 nm bands red edge 2010 algorithm denoted as RE10 was also explored with several atmospheric corrections from EUMETSAT, NOAA and NASA. Good consistency between the two types of algorithms is shown for the bloom conditions and the whole range of waters in the Chesapeake Bay (with RE10 switch to OC4 for lower Chl-a) and these algorithms are recommended for the combined VIIRS-OLCI product for the estimation of Chl-a and bloom monitoring. The algorithms were expanded to the waters in Long Island Sound, demonstrating good performance.

Economic Assessment of Meteorological Information Services for Capture Fisheries in Taiwan

This study evaluates the economic benefits of meteorological information services (MISs) provided by the Central Weather Administration (CWA) in Taiwan, specifically for Taiwan’s capture fishery industry. Using the contingent valuation method (CVM) and conducting in-person interviews, we collected questionnaires from capture fishery practitioners nationwide to gather their subjective evaluations of the meteorological information services provided by the CWA. Based on these evaluations, we further investigated the respondents’ willingness to pay (WTP) for the CWA’s meteorological information services. An empirical analysis of the bid function was conducted to identify the key factors influencing the respondents’ bidding behavior. The empirical findings indicate that the primary factors affecting bids include subjective perceptions (such as forecast accuracy ratings and the ratings of the impacts on fishing production), working location, fishing vessel tonnage, and fishing methods. The median WTP for Taiwanese capture fishery practitioners is Taiwan dollar (TWD) 2111.12 per person per year. Based on the number of capture fishery practitioners in Taiwan in 2019, the total annual economic value of applying MIS in coastal and offshore fisheries is estimated to be between TWD 376 million and TWD 496 million per year.

Access to healthcare services and factors associated with unmet needs among migrants in Phuket Province, Thailand, 2023: a cross-sectional mixed-method study

BackgroundPhuket Province is a major tourist destination with a migrant workforce accounting for 10% of its population. Despite governmental efforts to adjust health insurance policies, migrants face healthcare access challenges. This study examines the current healthcare access situation and factors associated with unmet needs among migrants in Phuket Province.MethodsWe used a cross-sectional mixed-methods approach, recruiting participants through snowball sampling from the Migrant Health Volunteer Network. Quantitative data were gathered using self-administered questionnaires, with unmet need defined as desired outpatient or recommended inpatient services not received at government hospitals. Multivariable logistic regression identified unmet need predictors, and we assessed the mediating effect of health insurance status. Qualitative data from three focus groups on healthcare access provided context and enriched the quantitative findings.ResultsThis study includes 296 migrants mainly from Myanmar. The overall unmet need prevalence was 14.86%, mainly attributed to having undocumented status (34.09%), affordability issues (20.45%), and language barriers (18.18%). Working in the fishery industry significantly increased unmet needs risk (aOR 2.68, 95% CI 1.08–6.62). Undocumented status contributed a marginal total effect of 4.86 (95% CI 1.62–14.54), with a natural indirect effect through uninsured status of only 1.16 (95% CI 0.88–1.52). Focus group participants used various medical resources, with insured individuals preferring hospital care, but faced obstacles due to undocumented status and language barriers.ConclusionValid legal documents, including work permits and visas, are crucial for healthcare access. Attention to fishery industry practices is needed. We recommend stakeholder discussions to streamline the process of obtaining and maintaining these documents for migrant workers. These improvements could enhance health insurance acquisition and ultimately improve healthcare affordability for this population. These insights could be applied to migrant workers in other urban and suburban area of Thailand regarding access to government healthcare facilities.

Smart Aquaculture Design for Vannamei Shrimp Farming Based on Quality Function Development

In the fishery industry, Indonesia’s large water area has the potential for developing and cultivating fisheries such as vannamei shrimp. For this reason, aquaculture, particularly vannamei shrimp farming, can play a crucial role in Indonesia’s economy and food supply. However, challenges such as fluctuating water quality, disease outbreaks, turbidity levels, and irregular shrimp feeding schedules in ponds can affect the productivity and sustainability of shrimp farming. The smart aquaculture system integrates technologies, such as IoT-based sensors, automated feeding mechanisms, and real-time water quality monitoring to optimize the farming process. The research proposes a smart aquaculture design for vannamei shrimp farming based on the Quality Function Development (QFD) method. It starts by creating questionnaires to identify stakeholders’ level of interest. The questionnaire results are used as a reference for system redesign using the QFD method to improve the quality and quantity of shrimp harvest, cultivating effectively and efficiently and helping and facilitating the supervision of pond managers on pond water quality, feeding, and feed availability. The result highlights the application of QFD in creating a tailored, technology-driven solution that supports better decision-making, resource optimization, and improved shrimp health. The system reduces human error, enhances farm management, and promotes higher yields by providing real-time data and automation. The evaluation results show that the proposed design can achieve high stakeholder satisfaction. It also achieves better scores compared to the other two competitor’s designs.

Navigating delayed diagnoses, self-neglect, and lost livelihoods: a qualitative exploration of fisherfolk’s health perspectives and management of non-communicable diseases in Kerala, India

IntroductionNon-Communicable Diseases (NCDs) place a significant burden on India's healthcare system, accounting for approximately 62% of all deaths in the country in 2017. The southern Indian state - Kerala - has some of the highest rates of NCDs. Within the state, the fisherfolk community has a high prevalence of risk factors such as tobacco use and alcohol consumption. Working in the fisheries industry demands physical exertion, night shifts alongside extended periods of time at sea (for seafaring fisherfolk). Evidence is scant on how these conditions relate to the health-seeking experiences of fisherfolk, particularly in the context of NCDs. We conducted a qualitative study in two districts of Kerala to fill this gap.MethodsIn-depth individual and small group interviews– as per participant preference – with male and female fishing community members living with NCDs were conducted between October 2022 and February 2023 in two districts of Kerala. Interviews were conducted to explore community members’ experiences with health-seeking for NCDs. Transliterated English transcripts were coded using ATLAS.ti software and analysed using thematic analysis with inductive generation of codes, with indexing against Levesque, Harris, and Russell’s 2013 access to healthcare framework.ResultsThirty-three interviews with 42 participants were conducted. We found that NCDs were usually diagnosed late- either when admitted/consulted for other illnesses or when the symptoms became unbearable. Health-seeking patterns differed between seafaring and inland fishing subgroups, who were sampled from two districts in the state. Seafaring fisherfolk preferred public facilities for regular checkups and medicines while in-land fisherfolk relied on private facilities, although it was considered expensive. Ability to seek care was impacted by the working hours of the health centre which did not suit their working hours. Health constaints and related expenses also impacted their financial status and occupation, with some opting for less strenuous jobs.ConclusionThis study highlights the NCD-related health-seeking experiences of the fisherfolk community in Kerala, India. Fisherfolk reported self neglect, delayed diagnosis, cost and livelihood constraints owing to the onset of NCDs, even as dual practice and medicine access in the public sector were appreciated. Overall, larger studies and policymaking processes should consider in depth the experiences faced by particular economic groups like fisherfolk, who may face unique health and care-seeking challenges.

Spatial-temporal evolution and drivers of ecological sustainability of coastal fisheries in China

Marine fisheries are an important source for the survival and economic livelihood of the world's population. With coastal economic development, rapid population growth, and advances in fishing technology, oceans and coastal areas have been placed under greater environmental pressure. Therefore, the sustainability of coastal fisheries must be revisited. This study used the 3D ecological footprint (EF) model and partial least squares (PLS) to analyze the spatial-temporal evolution of the ecological sustainability of coastal fisheries in China, and discuss the direct and indirect impacts of drivers from economic, social, and technological perspectives. Results showed that the gap between per capita EF and per capita biocapacity (BC) of coastal fisheries narrowed until it stabilized from 2010 to 2020. Footprint depth and size wholly showed a fluctuating upward trend. In terms of spatial distribution, footprint depth was high in the north and low in the south, and footprint size was a relatively scattered. Consumption pull had the largest effect on the ecological sustainability of coastal fisheries in China, followed by the economy push, but the effect of technology suppression was not significant. Some policy recommendations for sustainable fisheries governance were proposed in terms of consumption structure transformation, fisheries industry upgrading, and ecosystem-based management. This study indicated that the current development of coastal fisheries in China is sustainable from an ecological supply and demand perspective. The findings provide information on effective coastal fisheries governance and broad coastal and ocean management, and have the potential to provide references for sustainable fisheries governance in other coastal countries with similar contexts.

Extraction and characterisation of gelatine from yellowfin tuna skin pretreated with a eutectic solvent

The accumulation and management of waste generated during the processing of seafood products is one of the major current challenges in the fishery industry. Among these residues, fish skin stands out for its high collagen content, from which high-quality gelatine can be obtained. However, conventional methods for gelatine extraction are time-consuming and complex processes that involve the use of strong acidic and alkaline solutions, leading to serious environmental concerns. This research studied the use of a eutectic solvent, formed by two safe and environmentally friendly compounds such as sodium acetate trihydrate and urea, to pretreat the skin of yellowfin tuna before the extraction of gelatine. Two different times of pretreatment were tested, and the subsequent extraction was carried out in warm water, resulting in much higher yields of gelatine (0.3 g/g wet fish skin) than previous studies. Additionally, using FT-IR analysis and amino acid profiling, it was observed that the pretreatment time did not significantly affect the structure or composition of the gelatine. However, some variation was found in its molecular weight distribution and therefore in its rheological properties: with an increase in the pretreatment time, both the molecular weight and the storage modulus of the gel also increased, as well as the gelation and melting temperatures. This contribution offers a simplified process that reduces environmental impact and provides the opportunity to tailor the final product.

Genetic Characteristics Evaluation and Planning Design of Traditional Village Cultural Landscape: Taking Dongmen Fishing Village in Xiangshan, Zhejiang Province as an Example

ABSTRACT Taking Dongmen Fishing Village in Xiangshan, Zhejiang Province as an example, based on the theory of cultural landscape genes, this paper constructs a cultural landscape gene information chain for Dongmen Fishing Village, and proposes the composition and construction method of the information chain, ultimately forming information points including 4 major categories, 14 subcategories, and 29 points, including 4 information elements of fishery industry culture, folk beliefs culture, maritime defense culture, and island settlement culture, as well as an information corridor formed by overlapping village spaces. The study further conducts quantitative evaluation of cultural landscape genes through questionnaire surveys, including the importance of different information points and their correlation with information elements. Through IPA analysis of importance and correlation, the types of cultural landscape genes are clarified, and their type and spatial characteristics are further analyzed. Based on this, the study analyzes the current problems of the cultural landscape in Dongmen Fishing Village and conducts planning and design research on it. The research results provide scientific basis for the protection and utilization of cultural landscapes in Dongmen Fishing Village in the future.

Integration of the WRF model and IoT sensors to develop an early cold snap warning system for inland fishponds

The cold weather-related economic losses in the aquaculture and fisheries industries are enormous and will only increase due to future climate change. Advancements in weather forecasting have increased the accuracy of predicting environmental factors like air temperature, solar radiation, and wind speed. However, the water temperature of fishponds, which affects the lives of fish, cannot be accurately predicted. As a result, fishermen are unable to implement early disaster mitigation and avoidance measures effectively. In this study, we developed an early warning system for extreme temperature events in fishponds by using a weather forecasting model in combination with local observations from a customized sensor placed in a pond. This system could provide water temperature forecasts with up to 120 h of lead time. A fishpond and multiple events were selected to assess the performance. Compared to the actual observations, the predicted water temperature difference had a root mean square error of <2 °C for up to 72 h of lead time. Furthermore, due to limited computational resources for weather forecasting models, the water temperature and depth data collected by the sensor improved the accuracy of temperature prediction specific to each pond. The results have confirmed that the integrated method can effectively predict the water temperature of farmed fishponds and assist fishermen in implementing precautionary measures in time.

The role of women in the blue swimming crab fisheries supply chain from gender perspective in Pamekasan

Abstract The blue swimming crab (Portunus pelagicus) fishery industry bring positive impact onwomen in coastal areas by providing livelihood opportunities through active involvement in various gender roles, both in preparation and post-capture processes as well as in the production chain. This study aimed to analyze the roles of women in the crab fishing supply chain. This study was conducted in June 2023 at Pagagan Village, Pademawu District, Pamekasan Regency. The research employed interview methods, field observation, and secondary data sources, including articles and journals. Six respondents participated in the study, representing fishermen’s wives, mini-plant owners, crab pickers, and crab suppliers. Results showed that fishermen’s wives play a significant role in marketing and selling the crab catch, as well as assisting their husbands in making and repairing fishing gear. In the case of crab suppliers, women or housewife contributed in weighing and boiling the crabs. At the mini-plant level, women play the main role as pickers in sorting and stripping process, while the mini-plant owner supervises the overall process. The study highlighted the substantial contribution of women in coastal areas to the local community, demonstrating a strong reliance on marine resources, which fluctuate with the seasons. Additionally, the income earned by coastal women significantly contributes to their families finances, thereby enhancing their household’s economic condition.

STRATEGIC INTEGRATION OF CHINA-PAKISTAN ECONOMIC CORRIDOR (CPEC) IN ENHANCING THE MARINE FISHERY SECTOR OF PAKISTAN: A PATHWAY TO SUSTAINABLE ECONOMIC GROWTH

The marine fishery sector in Pakistan is particularly important in terms of the country’s economy but is still unexplored with problems such as old equipment, limited cold storage and processing, and not much investment made. Due to the emphasis on connectivity and economic cooperation under the framework of the China-Pakistan Economic Corridor (CPEC), it is possible to provide a strategic impetus to the development of the fishery sector. This research work seeks to establish how CPEC may improve the marine fishery industry of Pakistan and find out how the sector may benefit from CPEC investments in infrastructure and related facilities. The specific research questions the way CPEC infrastructure and investment could be optimally used for the development of the marine fishery sector of Pakistan for possible economic gains that could be associated with the integration of CPEC into the fishery sector. The study adopts a descriptive research type of approach whereby the researcher relies on secondary sources of information and analyzed data to assess the status of the marine fishery of Pakistan, identify the opportunities under CPEC for the sector, and establish how the sector can effectively integrate into the framework. The importance is in bringing attention to an overlooked sector that may benefit from the efficient use of CPEC projects. With investment and cooperation in the agriculture and socio-economic sectors, integration in the fishery sector will enhance Pakistan's blue economy and sustainable economic development.

An Intelligent Fishery Detection Method Based on Cross-Domain Image Feature Fusion

Target detection technology plays a crucial role in fishery ecological monitoring, fishery diversity research, and intelligent aquaculture. Deep learning, with its distinct advantages, provides significant convenience to the fishery industry. However, it still faces various challenges in practical applications, such as significant differences in image species and image blurring. To address these issues, this study proposes a multi-scale, multi-level, and multi-stage cross-domain feature fusion model. In order to train the model more effectively, a new data set called Fish52 (multi-scene fish data set, a data set containing 52 fish species) was constructed, on which the model achieved an mAP (mean average precision is a key measure of model performance) of 82.57%. Furthermore, we compared prevalent one-stage and two-stage detection methods on the Lahatan (single-scene fish data set) and Fish30 data set (a data set containing 30 fish species) and tested them on the F4k (Fish4Knowledge (F4K) is a data set focused on fish detection and identification) and FishNet data set (it is a data set containing 94,532 images from 17,357 aquatic species). The mAP of our proposed model on the Fish30, Lahatan, F4k, and FishNet data sets reaches 91.72%, 98.7%, 88.6%, and 81.5%, respectively, outperforming existing mainstream models. Comprehensive empirical analysis indicates that our model possesses a high generalization ability and reaches advanced performance levels. In this study, the depth of the model backbone is deepened, a novel neck structure is proposed, and a new module is embedded therein. To enhance the fusion ability of the model, a new attention mechanism module is introduced. In addition, in the adaptive decoupling detection head module, introducing classes with independent parameters and regression adapters reduces interaction between different tasks. The proposed model can better monitor fishery resources and enhance aquaculture efficiency. It not only provides an effective approach for fish detection but also has certain reference significance for the identification of similar targets in other environments and offers assistance for the construction of smart fisheries and digital fisheries.

MARINE FISHERIES AND ITS IMPACT ON COMMUNITY: AN OVERVIEW

Marine Fishery is the harvesting of fish and other seafood from the ocean for commercial, recreational, and food purposes. Marine fisheries, resources provide animal proteins to billions of people globally. Marine fishery has a vital role in human development and welfare as it provides employment, production, and trade, and has a significant share. In the national economy. There are several types of marine fisheries, which provide food security, livelihoods and economic benefits to millions of people especially the coastal communities. Sustainable fisheries of the world, facing many problems, like overfishing, habitat destruction, and climate change resulted in the depletion of fish stock and threat to the marine ecosystem. To get the long- term benefits and to reduce the pressure on marine fishery, conservation efforts i.e. sustainable fishing, marine protected areas establishment and enhancing aquaculture productivity are essential. Coastal area communities around the world usually depend upon the fishing industry for their food, income, and livelihood. Marine fisheries impacted on the communities in both ways i.e. positively and negatively. Economic and ecological impacts of marine fisheries on communities are significant. To mitigate negative impacts and enhance positive impacts of marine fisheries on the communities, the present project is undertaken to highlight those impacts by gathering the data about marine fisheries and its allied subjects from 1980 - 2024. In the end some suggestions are coated, like fisheries management practices, community-based management, and social responsibility initiatives, for better and sustainable fishery industry of the country.

Development of fishbone powder and carbon-jute fiber reinforced unsaturated polyester based novel green composites: investigation of tensile, impact strength, and morphology microstructure

In the last decade, hybrid composites have been the subject of significant advancements and study. This fast expansion necessitated the development of lightweight composite material with enhanced mechanical strength. In the past few years, the utilization of organic wastes from the food industry, like powder from cow bone, pig bone, and fishbone, has substantially improved the mechanical characteristics of composite materials. Owing to the increasing growth of the meat-based fisheries industry, fish bones are readily available. These bones are often thrown, causing environmental damage. Hence, a sustainable and unique hybrid composite was created employing fish bone powder (FBP) as filler in carbon/jute fibers reinforced polyester matrix. The hybrid composite was compression-molded. FTIR, SEM, and EDS studies were used to characterize the composite. The ASTM standard was used as a reference to explore the mechanical strength (tensile and impact). Additionally explored are the effects of alkali treatment of jute fiber on the above-mentioned processes. It was revealed that the inclusion of FBP and alkali treatment enhanced the mechanical characteristics of the composite. Fishbone powder with a particle size range of 200–250 μm and a weight percentage of 10 to 15% had significant fiber attachment which resulted in improved strength. The produced green composites have proven to be a viable choice for bio-waste treatment in the food sector.