Robot-assisted Aquaculture and Sustainable Seafood Production for Enhanced Food Security (original) (raw)
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Chronicle of Aquatic Science, 2023
The world's biggest facing problem is the increase in population and the difficulty of feeding them healthy food. Globally, agriculture, fisheries, and aquaculture play a vital role in producing food for human consumption on land and in the ocean. Over the past decades, the aquaculture industry has been the fastestgrowing food-producing sector in the world, but currently, the sector is facing many problems due to improper management, traditional techniques, and expensive labor. Therefore, the industry and rich farmers have adopted the use of automation and robotic technology in a variety of tasks to address current and future challenges in aquaculture with the overall goal of improving efficiency, reducing risks and costs, as well as increasing production and sustainability. Increasing automation in high-risk processes of aquaculture will have positive social and ethical impacts in addition to economic ones. This article discusses the use of automation and robotic techniques in the fisheries and aquaculture sector by reviewing the problems, processes, and applications in this field. From the review and analysis of the current situation and issues it is clear that automation in the aquaculture and fisheries sector will take it forward in the future with lower costs and more profits.
ANNALS OF ANIMAL SCIENCE, 2024
The current work investigates the prospective applications of Artificial Intelligence (AI) in the aquaculture industry. AI depends on collecting, validating, and analyzing data from several aspects using sensor readings, and feeding data sheets. AI is an essential tool that can monitor fish behavior and increase the resilience and quality of seafood products. Furthermore, AI algorithms can early detect potential pathogen infections and disease outbreaks, allowing aquaculture stakeholders to take timely preventive measures and subsequently make the proper decision in an appropriate time. AI algorithms can predict ecological conditions that should help aquaculture farmers adopt strategies and plans to avoid negative impacts on the fish farms and create an easy and safe environment for fish production. In addition, using AI aids to analyze and collect data regarding nutritional requirements, nutrient availability, and price could help the farmers to adjust and modify their diets to optimize feed formulations. Thus, using AI could help farmers to reduce labor costs, monitor aquatic animal’s growth, health, optimize feed formulation and reduce waste output and early detection of disease outbreaks. Overall, this review highlights the importance of using AI to achieve aquaculture sustainability and boost the net profits of farmers
Design and Implementation of an Automated Fish Feeder Robot for the Philippine Aquaculture Industry
2017
The researchers developed an automated fish feeder robot’s feeding mechanism and floater mechanical assembly to be used in aquaculture farming that aims to aid in the distribution of feeds. Data such as the conveyor's feeding capacity per unit time, the density of pellets dispensed in the cage and per quadrant were calculated and critical load check and stability tests were completed. Visual tests for the prototype were also conducted. The Aslong 12v JGB37-550 direct current (DC) motor was used to drive the bucket conveyor which is responsible for the transport of pellets to be dispensed to the outlet. On the other hand, the 3-blade commercial remote-controlled (RC) boat propeller driven by the Graupner 12V brushed motor was used to propel the floater while navigating and dispensing feeds throughout the fish cage. After assembling and building the whole prototype and combining the feeding system and the floater design, the researchers have tested its effectiveness, stability, an...
COMPUTER VISION AND ROBOTICS TECHNIQUES IN FISH FARMS
This paper presents new low-cost systems for the automation of some fish farm operations. Particularly, computer vision is applied to noncontact fish weight estimation. Stereo vision systems with synchronised convergent cameras are employed to perform fish 3-D segmentation in tanks and sea cages. Several pre-processing algorithms are applied to compensate illumination local variations. The approach applied for fish 3-D segmentation consists in detecting in both images certain fish features.
Research laboratory for fish processing automation
Robotics and Computer-Integrated Manufacturing, 1992
T~s pa~r outfines t~ o~a~fio~ resomc~, and re,each and developm~t ~fi~ties ~ a ~w~ ~ta~ished ~bo~ry for indmtrial amomation at a m~or Cana~an u~versity. T~ ~bora~ry h~ been ~b~hnd ~ t~ Departm~t ~ M~hn~l Eno~ring pfima~y to suppo~ t~ research and ~vdopmem acti~ti~ assoc~tnd ~ the Natural Scie~ and Engineering Re,each Council (NSERC) Char ~ Ind~trial Automation. The research ~ f~used on t~ ~velopmem ~ advanced and ~w-c~t technology ~r flexi~e automation ~ t~ fi~ pr~essing indmtry. T~ ma~ o~five ~ ~ upgrade t~ technology used ~ t~ mechanical pr~essing ~ fish, ~ereby r~g w~ge ~ t~ p~mary product, im~o~ng e~c~ncy, and maHng t~ local ind~try more com~tifive ~ expo~ ma~e~ Es~b~hm~t ~ an i~rastructure in industri~ au~mafion ~thin the universi~ and local ~ainin~ ~training ~ enonee~ ~th control and automation ex~rtise for local ind~tri~ ~e re~tnd objectives. As a specific task, an ex~men~i workceH for fish proee~ing ~ ~ing devdoped ~ the hbo~to~. The t~me ~ the acfi~ti~ ~ t~ hbo~tory ~ t~ integration ~ advanced contro~ Mg~levd comput~ vision, and robotic ma~pulation and dev~es, ~r appli~tion ~ t~ ar~ ~ fish pr~essing.
Artificial intelligence for the optimization of marine aquaculture
2023
In recent years, artificial intelligence has become an inevitable player in the field of development and international competition. Artificial intelligence (AI) has made moves across all industries, and marine aquaculture as one of the pillars of the blue economy of high production growth is no exception. The integration of artificial intelligence into marine aquaculture management and conservation is revolutionizing the intensification and expansion of sustainable aquaculture production systems. AI-powered systems help aquaculturists optimize their operations, production and management of marine aquaculture farms, develop innovative applications for monitoring, control and prediction of marine ecosystems, and to reduce waste and minimize their environmental impact. The adoption of AI technologies in aquaculture will be essential to ensure the long-term sustainability of the industry and the health of our oceans. Overall, AI is proving to be an essential tool for optimizing aquaculture development plans and conservation strategies for marine ecosystems. By providing early warning of environmental changes, identifying and protecting threatened species, and monitoring water quality, AI helps ensure that marine ecosystems remain healthy and vibrant.
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The researchers developed an automated fish feeder robot’s feeding mechanism and floater mechanical assembly to be used in aquaculture farming that aims to aid in the distribution of feeds. Data such as the conveyor's feeding capacity per unit time, the density of pellets dispensed in the cage and per quadrant were calculated and critical load check and stability tests were completed. Visual tests for the prototype were also conducted. The Aslong 12v JGB37-550 direct current (DC) motor was used to drive the bucket conveyor which is responsible for the transport of pellets to be dispensed to the outlet. On the other hand, the 3-blade commercial remote-controlled (RC) boat propeller driven by the Graupner 12V brushed motor was used to propel the floater while navigating and dispensing feeds throughout the fish cage. After assembling and building the whole prototype and combining the feeding system and the floater design, the researchers have tested its effectiveness, stability, an...
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Marine food chains are highly stressed by aggressive fishing practices and environmental damage. Aquaculture has increasingly become a source of seafood which spares the deleterious impact on wild fisheries. However, continually monitoring water quality to successfully grow and harvest fish is labor intensive. The Hybrid Aerial Underwater Robotic System (HAUCS) is an Internet of Things (IoT) framework for aquaculture farms to relieve the farm operators of one of the most labor-intensive and time-consuming farm operations: water quality monitoring. To this end, HAUCS employs a swarm of unmanned aerial vehicles (UAVs) or drones integrated with underwater measurement devices to collect the in situ water quality data from aquaculture ponds. A critical aspect in HAUCS is to develop an effective path planning algorithm to be able to sample all the ponds on the farm with minimal resources (i.e., the number of UAVs and the power consumption of each UAV). Three methods of path planning for t...
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Intensified aquaculture and expansion of area under aquaculture farms can make it difficult for farm managers to supervise each and every culture system and take customized decisions. In this context, artificial intelligence and machine learning can help to monitor the farm and take real-time decisions. Artificial intelligence refers to simulation of human intelligence process in machines by providing them with sufficient contextual data for the purpose. Artificial intelligence can also have applications in capture fishery and conservation of natural resources. With the advent of blockchain technology, machine learning can also be used to effectively trace the origin of fish on a customer's table and track its entire journey through the supply chain. This can help to make aquaculture and fishery more environmentally and economically sustainable. This article discusses the current practices and future trends in the application of artificial intelligence in aquaculture and fishery industry.