IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2078-d1043664.html
   My bibliography  Save this article

Using IoT Sensor Technologies to Reduce Waste and Improve Sustainability in Artisanal Fish Farming in Southern Brazil

Author

Listed:
  • Ramakrishnan Ramanathan

    (Essex Business School, University of Essex, Southend Campus, Elmer Approach, Southend-on-Sea, Essex SS1 1LW, UK)

  • Yanqing Duan

    (Research Institute of Smart Cities, University of Bedfordshire, Park Square, Luton LU1 3JU, UK)

  • Joaquim Valverde

    (Instituto Federal de Educação, Ciência e Tecnologia Catarinense, Campus Camboriú, Rua Joaquim Garcia, Camboriú 88340-055, Brazil)

  • Samuel Van Ransbeeck

    (Research Institute of Smart Cities, University of Bedfordshire, Park Square, Luton LU1 3JU, UK)

  • Tahmina Ajmal

    (Research Institute of Smart Cities, University of Bedfordshire, Park Square, Luton LU1 3JU, UK)

  • Silma Valverde

    (Department of Education, Universidade Federal do Paraná, Litoral Campus, Rua Jaguariaíva, 512, Caiobá Matinhos 83260-000, Brazil)

Abstract

Modern digital technologies have the great potential to improve the sustainability of fish farming in artisanal fisheries. However, in spite of the popularity of these technologies for fish farming in other parts of the world, Brazil still lags behind. To fill this gap, this study has conducted the first field study in implementing the IoT sensor technologies in Southern Brazil and documents the experiences in this paper. More specifically, it discusses developing sustainable artisanal fisheries infrastructure using these technologies with reference to southern Brazil, where the study explores the use of sensor technology in aquaculture and its effectiveness in reducing waste and improving productivity. The overarching goal of the project is to demonstrate how simple data collection using IoT sensors and its analysis can support artisanal freshwater fish farms in Brazil and beyond to increase production, reduce waste, and thereby improve their sustainability. The pilot implementation of these technologies has demonstrated the potential of increasing the productivity of the artisanal fisheries, reducing waste (e.g., loss of farmed fish, optimised feeding to reduce waste of feeds), and improving the sustainability of aquaculture. This paper documents the valuable firsthand experiences of selecting, adapting, and implementing the IoT sensor technologies with close cooperation from local research institutions and artisanal fish farmers. The paper describes the different implementation stages and use interviews with stakeholders as a testimony of the effectiveness of the IoT technology adoption.

Suggested Citation

  • Ramakrishnan Ramanathan & Yanqing Duan & Joaquim Valverde & Samuel Van Ransbeeck & Tahmina Ajmal & Silma Valverde, 2023. "Using IoT Sensor Technologies to Reduce Waste and Improve Sustainability in Artisanal Fish Farming in Southern Brazil," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2078-:d:1043664
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2078/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2078/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Lovi Raj Gupta & Manoj Kumar Jena & Chander Prakash & Sunpreet Singh & Raman Kumar, 2021. "Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    2. Trimble, Micaela & Johnson, Derek, 2013. "Artisanal fishing as an undesirable way of life? The implications for governance of fishers' wellbeing aspirations in coastal Uruguay and southeastern Brazil," Marine Policy, Elsevier, vol. 37(C), pages 37-44.
    3. Taher Kassem & Isam Shahrour & Jamal El Khattabi & Ahmad Raslan, 2021. "Smart and Sustainable Aquaculture Farms," Sustainability, MDPI, vol. 13(19), pages 1-16, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. J. Allister McGregor, 2014. "Human wellbeing and sustainability: interdependent and intertwined," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 14, pages 217-234, Edward Elgar Publishing.
    2. Tena Bujas & Marija Koričan & Manuela Vukić & Vladimir Soldo & Nikola Vladimir & Ailong Fan, 2022. "Review of Energy Consumption by the Fish Farming and Processing Industry in Croatia and the Potential for Zero-Emissions Aquaculture," Energies, MDPI, vol. 15(21), pages 1-26, November.
    3. Santos, Anna N., 2015. "Fisheries as a way of life: Gendered livelihoods, identities and perspectives of artisanal fisheries in eastern Brazil," Marine Policy, Elsevier, vol. 62(C), pages 279-288.
    4. Santos, Anna N. & Brannstrom, Christian, 2015. "Livelihood strategies in a marine extractive reserve: Implications for conservation interventions," Marine Policy, Elsevier, vol. 59(C), pages 44-52.
    5. Guillermo Fuertes & Jorge Zamorano & Miguel Alfaro & Manuel Vargas & Jorge Sabattin & Claudia Duran & Rodrigo Ternero & Ricardo Rivera, 2022. "Opportunities of the Technological Trends Linked to Industry 4.0 for Achieve Sustainable Manufacturing Objectives," Sustainability, MDPI, vol. 14(18), pages 1-36, September.
    6. Alpina Begossi, 2014. "Ecological, cultural, and economic approaches to managing artisanal fisheries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(1), pages 5-34, February.
    7. Naranjo-Madrigal, Helven & van Putten, Ingrid & Norman-López, Ana, 2015. "Understanding socio-ecological drivers of spatial allocation choice in a multi-species artisanal fishery: A Bayesian network modeling approach," Marine Policy, Elsevier, vol. 62(C), pages 102-115.
    8. Emdad Haque, C. & Julián Idrobo, C. & Berkes, Fikret & Giesbrecht, Dale, 2015. "Small-scale fishers’ adaptations to change: The role of formal and informal credit in Paraty, Brazil," Marine Policy, Elsevier, vol. 51(C), pages 401-407.
    9. Di Liang & Jieyi Wang & Ran Bhamra & Liezhao Lu & Yuting Li, 2022. "A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm," Mathematics, MDPI, vol. 10(21), pages 1-24, October.
    10. Schuhbauer, Anna & Sumaila, U. Rashid, 2016. "Economic viability and small-scale fisheries — A review," Ecological Economics, Elsevier, vol. 124(C), pages 69-75.

    More about this item

    Keywords

    aquaculture; Brazil; IoT;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2078-:d:1043664. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.