Kana Banno
About
I do research within salmon aquaculture, with a focus on salmon behaviour in commercial cages, as response to various environmental factors.
My research interest covers wide range of topics, but I am especially interested in fish behaviour, fish welfare, and use of technologies (e.g. underwater cameras, ROVs, echosounders, sonars) for aquaculture monitoring.
I have worked at a Japanese land-based RAS company that produces rainbow trout, where I acquired thorough knowledge on everyday operation at RAS facilities, as well as strong observational skills necessary for healthy growth of salmonids. I earned my PhD degree in Biology from NTNU in 2025, with a focus on the monitoring of fish welfare and aquaculture -environment interactions. I was awarded a MSc in Biology with a focus on aquaculture and genetics, from UiT The Arctic University of Norway in 2019.
Main supervisor: Associate Prof. Lars Christian Gansel
Publications
2025
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Banno, Kana;
Gao, Sihan;
Stolz, Christian;
Tuene, Stig Atle;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian.
(2025)
Data from: Multi-beam sonars for monitoring the distribution and welfare of fish reared in sea cages - strengths and challenges.
Mendeley Data
Data set
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Banno, Kana;
Gao, Sihan;
Stolz, Christian;
Tuene, Stig Atle;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian.
(2025)
Multi-beam sonars for monitoring the distribution and welfare of fish reared in sea cages - strengths and challenges.
Aquaculture
Academic article
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Banno, Kana;
Gansel, Lars Christian;
Aas, Grete Kristine Følsvik;
Torres, Richardo Da Silva.
(2025)
Monitoring of fish in sea-caged aquaculture: methodology and applications.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
2024
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Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen;
Stolz, Christian;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian;
Torres, Ricardo.
(2024)
Healthy and Loser Salmon Dataset.
Mendeley Data
Data set
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Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen;
Stolz, Christian;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian;
Torres, Ricardo.
(2024)
Identifying losers: Automatic identification of growth-stunted salmon in aquaculture using computer vision.
Machine Learning with Applications (MLWA)
Academic article
-
Banno, Kana;
Gao, Sihan;
Anichini, Marianna;
Stolz, Christian;
Tuene, Stig Atle;
Gansel, Lars Christian.
(2024)
Expanded vision for the spatial distribution of Atlantic salmon in sea cages.
Aquaculture
Academic article
2023
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Gao, Sihan;
Banno, Kana;
Hu, Zhicheng;
Han, Peihua;
Gansel, Lars Christian;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Digital Prototyping of a Stocked Cage with Multi-Sensor Integration.
Academic chapter
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Landeira, José M.;
Fatira, Effrosyni;
Banno, Kana;
Tanaka, Yuji.
(2023)
Maternal influence on the larval morphometry of the brush-clawed shore crab Hemigrapsus takanoi (Decapoda: Brachyura).
Scientia Marina
Academic article
2022
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Banno, Kana;
Kaland, Håvard;
Crescitelli, Alberto Maximiliano;
Tuene, Stig Atle;
Aas, Grete Hansen;
Gansel, Lars Christian.
(2022)
A novel approach for wild fish monitoring at aquaculture sites: wild fish presence analysis using computer vision.
Aquaculture Environment Interactions
Academic article
2019
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Banno, Kana;
Præbel, Kim;
Bhat, Shripathi;
Dalmo, Roy.
(2019)
Investigating population genomic structure of salmon lice (Lepeophtheirus salmonis) in northern Norway.
UiT Norges arktiske universitet
Master thesis
2018
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Banno, Kana;
Oda, Tatsuya;
Nagai, Kiyohito;
Nagai, Satoshi;
Tanaka, Yuji;
Basti, Leila.
(2018)
Deleterious effects of harmful dinoflagellates and raphidophytes on egg viability and spermatozoa swimming velocity in the Japanese pearl oyster Pinctada fucata martensii.
Journal of Shellfish Research
Academic article
Journal publications
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Banno, Kana;
Gao, Sihan;
Stolz, Christian;
Tuene, Stig Atle;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian.
(2025)
Multi-beam sonars for monitoring the distribution and welfare of fish reared in sea cages - strengths and challenges.
Aquaculture
Academic article
-
Banno, Kana;
Oda, Tatsuya;
Nagai, Kiyohito;
Nagai, Satoshi;
Tanaka, Yuji;
Basti, Leila.
(2018)
Deleterious effects of harmful dinoflagellates and raphidophytes on egg viability and spermatozoa swimming velocity in the Japanese pearl oyster Pinctada fucata martensii.
Journal of Shellfish Research
Academic article
-
Landeira, José M.;
Fatira, Effrosyni;
Banno, Kana;
Tanaka, Yuji.
(2023)
Maternal influence on the larval morphometry of the brush-clawed shore crab Hemigrapsus takanoi (Decapoda: Brachyura).
Scientia Marina
Academic article
-
Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen;
Stolz, Christian;
Aas, Grete Kristine Følsvik Hansen;
Gansel, Lars Christian;
Torres, Ricardo.
(2024)
Identifying losers: Automatic identification of growth-stunted salmon in aquaculture using computer vision.
Machine Learning with Applications (MLWA)
Academic article
-
Banno, Kana;
Kaland, Håvard;
Crescitelli, Alberto Maximiliano;
Tuene, Stig Atle;
Aas, Grete Hansen;
Gansel, Lars Christian.
(2022)
A novel approach for wild fish monitoring at aquaculture sites: wild fish presence analysis using computer vision.
Aquaculture Environment Interactions
Academic article
-
Banno, Kana;
Gao, Sihan;
Anichini, Marianna;
Stolz, Christian;
Tuene, Stig Atle;
Gansel, Lars Christian.
(2024)
Expanded vision for the spatial distribution of Atlantic salmon in sea cages.
Aquaculture
Academic article
Part of book/report
-
Gao, Sihan;
Banno, Kana;
Hu, Zhicheng;
Han, Peihua;
Gansel, Lars Christian;
Li, Guoyuan;
Zhang, Houxiang.
(2023)
Digital Prototyping of a Stocked Cage with Multi-Sensor Integration.
Academic chapter
Student thesis or dissertation
-
Banno, Kana;
Præbel, Kim;
Bhat, Shripathi;
Dalmo, Roy.
(2019)
Investigating population genomic structure of salmon lice (Lepeophtheirus salmonis) in northern Norway.
UiT Norges arktiske universitet
Master thesis
-
Banno, Kana;
Gansel, Lars Christian;
Aas, Grete Kristine Følsvik;
Torres, Richardo Da Silva.
(2025)
Monitoring of fish in sea-caged aquaculture: methodology and applications.
Norges teknisk-naturvitenskapelige universitet
Doctoral thesis
Teaching
BIA3003 Introduction to scientific method (2024 Autumn)
Outreach
2024
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Conference lectureKaland, Håvard Blindheim; Banno, Kana; Gansel, Lars Christian; Amundsen, Trond; Tuene, Stig Atle; Aas, Grete Kristine Følsvik Hansen. (2024) Does farmed Atlantic salmon get frightened of wild fish around sea cages?. AQUA 2024
2022
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LectureBanno, Kana; Anichini, Marianna; Auning, Kurt E.; Haugen, Pål; Almaas, Kjell; Tuene, Stig Atle; Gansel, Lars Christian. (2022) Monitoring the spatial distribution of farmed fish in large commercial sea cages deploying a multi-beam sonar. Aquaculture Europe 2022
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LectureGonçalves, Filipe M. F.; Banno, Kana; Anichini, Marianna; Gansel, Lars Christian; Torres, Ricardo. (2022) Automatic detection of growth-stunted phenotype in farmed Atlantic salmon: a new insight into quantify their distribution and behaviour based on a machine learning approach. Aquaculture Europe 2022
2021
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Interview
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InterviewBanno, Kana. (2021) Artificial intelligence makes it easier to study wild fish at salmon farm sites.
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Conference lectureBanno, Kana; Kaland, Håvard; Crescitelli, Alberto Maximiliano; Tuene, Stig Atle; Aas, Grete Hansen; Gansel, Lars Christian. (2021) A novel system for wild fish monitoring at aquaculture sites - artificial intelligence in wild fish abundance analysis. Aquaculture Europe 2020
2019
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LecturePræbel, Kim; Banno, Kana; Bhat, Shripathi; Llewellyn, Martin. (2019) Lakselusa er ikke bare lus status fra licemap. Aqua Nor 2019