Nigeria is the most populous black nation in the world, with an estimated population about 150 million people. Its citizens as at the end of 2012 have a projected fish demand of 2.66 million tonnes of fish. Fish suppl...Nigeria is the most populous black nation in the world, with an estimated population about 150 million people. Its citizens as at the end of 2012 have a projected fish demand of 2.66 million tonnes of fish. Fish supply within the said period was 1.32 million tonnes. This figure was made up of 0.7 million tonnes from importation and 0.62 million tonnes from both artisanal and aquaculture. Of the local production aquaculture contributes only 200 000 tonnes. Studies have shown that fish catch from the wild has reached its maximum production limit and production from this area is currently on the decline. Nigeria has about 1.75 hm2 of suitable sites for aquaculture development. Aquaculture production for 2012 was a meager 200 000 tonues. Aquaculture though a veritable means is faced with a lot of constraints ranging from government＇s wrong focus on industrial fisheries instead of aquaculture, poor policy formulation and non-implementation fisheries development programmes among others. In spite of these constraints, there were also the following aquaculture investment opportunities such as production of fishing equipment, establishment of modern fish farms, shrimp fishing, fingerling production, table size fish production, brood stock production, fish feed production, ornamental fish farming, production system design and construction, capacity building in project management, packaging and branding.展开更多
This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in ado...This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in adoption levels on sate basis. Five fish farmers were randomly selected on multiple stage bases from 18 Fadama Users＇ Groups （FUGs） amounting to 90 farmers as the sample size for this study （n=90）. Structured questionnaire was used to elicit information from respondents. Data collected were measured using descriptive and adoption Sigma method analysis. Results obtained revealed that of the 12 selected aquaculture based technologies recommended by Fadama Ⅲ, the ratio of adoption skills ranged from 1 high： 7 medium： 5 low. The adoption levels followed a sequence of earthen ponds preparation being the highest, and stocking density techniques being the lowest. The overall adoption level was 4.20 which implied that the aquaculture farmers were categorized as medium adopters using the Sigma method scale. It was recommended that farmers with adoption levels at medium and low ranges should be focused upon with more teaching sessions by community facilitators and that other extension workers should emulate the strategies used by Fadama Ⅲ in developing farmers.展开更多
[Objective]Fish pose estimation(FPE)provides fish physiological information,facilitating health monitoring in aquaculture.It aids decision-making in areas such as fish behavior recognition.When fish are injured or def...[Objective]Fish pose estimation(FPE)provides fish physiological information,facilitating health monitoring in aquaculture.It aids decision-making in areas such as fish behavior recognition.When fish are injured or deficient,they often display abnormal behaviors and noticeable changes in the positioning of their body parts.Moreover,the unpredictable posture and orientation of fish during swimming,combined with the rapid swimming speed of fish,restrict the current scope of research in FPE.In this research,a FPE model named HPFPE is presented to capture the swimming posture of fish and accurately detect their key points.[Methods]On the one hand,this model incorporated the CBAM module into the HRNet framework.The attention module enhanced accuracy without adding computational complexity,while effectively capturing a broader range of contextual information.On the other hand,the model incorporated dilated convolution to increase the receptive field,allowing it to capture more spatial context.[Results and Discussions]Experiments showed that compared with the baseline method,the average precision(AP)of HPFPE based on different backbones and input sizes on the oplegnathus punctatus datasets had increased by 0.62,1.35,1.76,and 1.28 percent point,respectively,while the average recall(AR)had also increased by 0.85,1.50,1.40,and 1.00,respectively.Additionally,HPFPE outperformed other mainstream methods,including DeepPose,CPM,SCNet,and Lite-HRNet.Furthermore,when compared to other methods using the ornamental fish data,HPFPE achieved the highest AP and AR values of 52.96%,and 59.50%,respectively.[Conclusions]The proposed HPFPE can accurately estimate fish posture and assess their swimming patterns,serving as a valuable reference for applications such as fish behavior recognition.展开更多
This study assessed the fish production, culture facilities, operations, water resource management and profitability of fish farming in Katsina State, Nigeria, with a view of understanding the status of aquaculture de...This study assessed the fish production, culture facilities, operations, water resource management and profitability of fish farming in Katsina State, Nigeria, with a view of understanding the status of aquaculture development in Katsina State. Data were collected using structured questionnaire administered to 35 out of the active 42 farms in Katsina State at the period and the data obtained were analyzed using descriptive statistics and linear regression. Among the respondents, 37.1% used concrete tank alone and another 37.2% used concrete tank with other types of culture facilities, 57.1% practised mono-culture techniques and 77.1% used stagnant renewal system as culture system. Management of water quality was done by majority(82.9%) with mere visual evaluation, while 68.6% did not use any forms of water treatment. Most of the farms(80%) depended on imported feed for feeding their fish and gross profits of ■7.29±1.81 and ■157.83±118.08 were obtained on fingerlings and adult fish, respectively. The tested explanatory variables were responsible for 45.4% change in profitability and profitability was found to be dependent on feeding cost(t=–3.38 and p=0.002) and size of fish at harvest(t=2.70 and p=0.011). The research findings established that fish farming in Katsina State was under developed.展开更多
文摘Nigeria is the most populous black nation in the world, with an estimated population about 150 million people. Its citizens as at the end of 2012 have a projected fish demand of 2.66 million tonnes of fish. Fish supply within the said period was 1.32 million tonnes. This figure was made up of 0.7 million tonnes from importation and 0.62 million tonnes from both artisanal and aquaculture. Of the local production aquaculture contributes only 200 000 tonnes. Studies have shown that fish catch from the wild has reached its maximum production limit and production from this area is currently on the decline. Nigeria has about 1.75 hm2 of suitable sites for aquaculture development. Aquaculture production for 2012 was a meager 200 000 tonues. Aquaculture though a veritable means is faced with a lot of constraints ranging from government＇s wrong focus on industrial fisheries instead of aquaculture, poor policy formulation and non-implementation fisheries development programmes among others. In spite of these constraints, there were also the following aquaculture investment opportunities such as production of fishing equipment, establishment of modern fish farms, shrimp fishing, fingerling production, table size fish production, brood stock production, fish feed production, ornamental fish farming, production system design and construction, capacity building in project management, packaging and branding.
文摘This study was conducted in Akwa Ibom, Bayelsa and Delta States of the Niger Delta, Nigeria. It examined the level of adoption of aquaculture technologies by Fadama Ⅲ beneficiaries and assessed the differences in adoption levels on sate basis. Five fish farmers were randomly selected on multiple stage bases from 18 Fadama Users＇ Groups （FUGs） amounting to 90 farmers as the sample size for this study （n=90）. Structured questionnaire was used to elicit information from respondents. Data collected were measured using descriptive and adoption Sigma method analysis. Results obtained revealed that of the 12 selected aquaculture based technologies recommended by Fadama Ⅲ, the ratio of adoption skills ranged from 1 high： 7 medium： 5 low. The adoption levels followed a sequence of earthen ponds preparation being the highest, and stocking density techniques being the lowest. The overall adoption level was 4.20 which implied that the aquaculture farmers were categorized as medium adopters using the Sigma method scale. It was recommended that farmers with adoption levels at medium and low ranges should be focused upon with more teaching sessions by community facilitators and that other extension workers should emulate the strategies used by Fadama Ⅲ in developing farmers.
文摘[Objective]Fish pose estimation(FPE)provides fish physiological information,facilitating health monitoring in aquaculture.It aids decision-making in areas such as fish behavior recognition.When fish are injured or deficient,they often display abnormal behaviors and noticeable changes in the positioning of their body parts.Moreover,the unpredictable posture and orientation of fish during swimming,combined with the rapid swimming speed of fish,restrict the current scope of research in FPE.In this research,a FPE model named HPFPE is presented to capture the swimming posture of fish and accurately detect their key points.[Methods]On the one hand,this model incorporated the CBAM module into the HRNet framework.The attention module enhanced accuracy without adding computational complexity,while effectively capturing a broader range of contextual information.On the other hand,the model incorporated dilated convolution to increase the receptive field,allowing it to capture more spatial context.[Results and Discussions]Experiments showed that compared with the baseline method,the average precision(AP)of HPFPE based on different backbones and input sizes on the oplegnathus punctatus datasets had increased by 0.62,1.35,1.76,and 1.28 percent point,respectively,while the average recall(AR)had also increased by 0.85,1.50,1.40,and 1.00,respectively.Additionally,HPFPE outperformed other mainstream methods,including DeepPose,CPM,SCNet,and Lite-HRNet.Furthermore,when compared to other methods using the ornamental fish data,HPFPE achieved the highest AP and AR values of 52.96%,and 59.50%,respectively.[Conclusions]The proposed HPFPE can accurately estimate fish posture and assess their swimming patterns,serving as a valuable reference for applications such as fish behavior recognition.
文摘This study assessed the fish production, culture facilities, operations, water resource management and profitability of fish farming in Katsina State, Nigeria, with a view of understanding the status of aquaculture development in Katsina State. Data were collected using structured questionnaire administered to 35 out of the active 42 farms in Katsina State at the period and the data obtained were analyzed using descriptive statistics and linear regression. Among the respondents, 37.1% used concrete tank alone and another 37.2% used concrete tank with other types of culture facilities, 57.1% practised mono-culture techniques and 77.1% used stagnant renewal system as culture system. Management of water quality was done by majority(82.9%) with mere visual evaluation, while 68.6% did not use any forms of water treatment. Most of the farms(80%) depended on imported feed for feeding their fish and gross profits of ■7.29±1.81 and ■157.83±118.08 were obtained on fingerlings and adult fish, respectively. The tested explanatory variables were responsible for 45.4% change in profitability and profitability was found to be dependent on feeding cost(t=–3.38 and p=0.002) and size of fish at harvest(t=2.70 and p=0.011). The research findings established that fish farming in Katsina State was under developed.
