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.
Other
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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;
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
Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
2024
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Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen.
(2024)
Healthy and Loser Salmon Dataset.
Other
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Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen.
(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
-
Gao, Sihan;
Banno, Kana;
Hu, Zhicheng;
Han, Peihua;
Gansel, Lars Christian;
Li, Guoyuan.
(2023)
Digital Prototyping of a Stocked Cage with Multi-Sensor Integration.
Academic chapter/article/Conference paper
-
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
-
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
UiT Norges arktiske universitet
Masters thesis
2018
-
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;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen.
(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
-
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;
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;
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
Part of book/report
-
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.
Other
-
Banno, Kana;
Gonçalves, Filipe Marcel Fernandes;
Sauphar, Clara Pauline;
Anichini, Marianna;
Hazelaar, Aline;
Sperre, Linda Helen.
(2024)
Healthy and Loser Salmon Dataset.
Other
-
Gao, Sihan;
Banno, Kana;
Hu, Zhicheng;
Han, Peihua;
Gansel, Lars Christian;
Li, Guoyuan.
(2023)
Digital Prototyping of a Stocked Cage with Multi-Sensor Integration.
Academic chapter/article/Conference paper
Report
-
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
Norges teknisk-naturvitenskapelige universitet
Doctoral 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
UiT Norges arktiske universitet
Masters thesis
Teaching
BIA3003 Introduction to scientific method (2024 Autumn)
Outreach
2024
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Academic 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 , København 2024-08-26 - 2024-08-30
2022
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LectureBanno, Kana; Anichini, Marianna; Auning, Kurt E.; Haugen, Pål; Almaas, Kjell; Tuene, Stig Atle. (2022) Monitoring the spatial distribution of farmed fish in large commercial sea cages deploying a multi-beam sonar. Aquaculture Europe 2022 , Rimini 2022-09-27 - 2022-09-30
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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 , Rimini 2022-09-27 - 2022-09-30
2021
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InterviewBanno, Kana; Waycott, Bonnie. (2021) Women in aquaculture: Kana Banno. The Fish Site The Fish Site [Internet] 2021-01-06
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InterviewBanno, Kana. (2021) Artificial intelligence makes it easier to study wild fish at salmon farm sites. Norwegian SciTech News Norwegian SciTech News [Internet] 2021-07-06
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Academic 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 , Digital conference 2021-04-12 - 2021-04-15
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 2019-08-20 - 2019-08-23