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  1. Employees

Språkvelger

Norsk

Kana Banno

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Kana Banno

PhD Research Fellow
Department of Biological Sciences Ålesund
Faculty of Natural Sciences

kana.banno@ntnu.no
Kompasset, 293, Ålesund
ResearchGate
About Research Publications Teaching Outreach

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

Competencies

  • Aquaculture
  • Fish biology
  • Fish welfare
  • Fiskeadferd
  • Harmful algae
  • Land based aquaculture
  • Molecular genetics
  • Salmon louse
  • Salmonids

Research

  • InnoSEA - Innovations for Sustainable sEabased Aquaculture

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2025

  • 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

2024

  • Banno, Kana; Goncalves, Filipe Marcel Fernandes; Sauphar, Clara Pauline; Anichini, Marianna; Aline, Hazelaar; Sperre, Linda Helen. (2024) Healthy and Loser Salmon Dataset.
    Other product
  • 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. IEEE conference proceedings
    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

  • 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

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

  • 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

  • Gao, Sihan; Banno, Kana; Hu, Zhicheng; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan. (2023) Digital Prototyping of a Stocked Cage with Multi-Sensor Integration. IEEE conference proceedings
    Academic chapter/article/Conference paper

PRODUKT

  • Banno, Kana; Goncalves, Filipe Marcel Fernandes; Sauphar, Clara Pauline; Anichini, Marianna; Aline, Hazelaar; Sperre, Linda Helen. (2024) Healthy and Loser Salmon Dataset.
    Other product

Teaching

BIA3003 Introduction to scientific method (2024 Autumn)

Outreach

2024

  • Academic lecture
    Kaland, 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

  • Lecture
    Gonçalves, 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. European Aquaculture Society Aquaculture Europe 2022 , Rimini 2022-09-27 - 2022-09-30
  • Lecture
    Banno, 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. European Aquaculture Society Aquaculture Europe 2022 , Rimini 2022-09-27 - 2022-09-30

2021

  • Academic lecture
    Banno, Kana; Kaland, HÃ¥vard; 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. European Aquaculture Society Aquaculture Europe 2021 , Digital conference 2021-04-12 - 2021-04-15
  • Interview
    Banno, Kana; Waycott, Bonnie. (2021) Women in aquaculture: Kana Banno. The Fish Site The Fish Site [Internet] 2021-01-06
  • Interview
    Banno, 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

2019

  • Lecture
    Præbel, 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

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