Hokkaido University Graduate School of Fisheries Sciences
Marine Bioresource and Environmental Science Fisheries Engineering
Graduate School of Env. Science
Biosphere Science Marine Biogeochemistry and Biology
Takagi Laboratory・Gomi Laboratory
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Research Projects
Research Projects
How fish are caught is a fundamental question in fisheries science. Fishing technologies are essential for fishery production. Our research focuses on understanding the behavior of both fishes and fishing gear during an operation, and on developing technologies and systems that enables the efficient and selective capture of target species in appropriate quantities.
Specifically, we study fishing systems and the optimal design of fishing gear using a unique original numerical simulation system developed in our laboratory. This system enables us to visualize the dynamic behavior of entire fishing gear geometries during operations and to gain important physical insights. Also, we conduct research on the locomotion, behavioral emergence, and underlying mechanisms in marine organisms to achieve sustainable and responsible fishing practices.
Development of a Net geometry and Load Analysis system (NaLA system)
It is impossible to directly observe the behavior of fishing gear and entire geometry during operation by using optical methods because light gets easily attenuated and fishing gear is often huge such as its length can be thousands meters. Then, we have developed a numerical simulation for dynamics of fishing gear, which is called NaLA system that stands for Net geometry and Load Analysis system. The NaLA system is capable of solving the dynamics of fishing gear numerically and visualizing them.
Development of an efficient management technique for aquaculture fish
Development of an efficient management technique for aquaculture fish
In aquaculture industry, fish in aquaculture cages are managed by adjusting the amount of feed and shipping timing depending on their growth. Therefore, it is important to monitor how large the fish are and how many are in the cages. In our laboratory, we have been conducting research on counting the number of fish in the cages through image-based measurement in order to provide more efficient management of aquaculture fish.
Research on locomotion and behavioral analysis of marine animals
Research on locomotion and behavioral analysis of marine animals
In order to catch fish with a conservative management, it is essential to understand fundamental issues such as how fast fish can swim and why they behave that way. We study the emergence and mechanism of behavior in marine animals—such as cetaceans, fish, and sea cucumbers—and conduct research on their biomechanics from a physical perspective. Additionally, we have been conducting research on understanding information that has been difficult to acquire without specialized experimental or observational equipment, in order to appropriately control fish behavior for fishing and apply the results to production techniques.
Research on the early detection of harmful algal blooms (HABs) using machine learning
Research on the early detection of harmful algal blooms (HABs) using machine learning
Harmful algal blooms (HABs) induce mass fish mortality in aquaculture, resulting in significant negative impacts on fisheries. Therefore, predicting the expansion of HABs and mitigating their negative impacts are essential. Recently, a monitoring system for HABs using airplanes has been considered as a new approach. In our laboratory, we have started conducting research on developing a method to predict the expansion of HABs by combining neural network and spectral data in order to distinguish HABs from images and mitigate their negative impacts.
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