Using IoT Sensor Technologies to Reduce Waste and Improve Sustainability in Artisanal Fish Farming in Southern Brazil
-
Published:2023-01-21
Issue:3
Volume:15
Page:2078
-
ISSN:2071-1050
-
Container-title:Sustainability
-
language:en
-
Short-container-title:Sustainability
Author:
Ramanathan Ramakrishnan1ORCID, Duan Yanqing2, Valverde Joaquim3, Van Ransbeeck Samuel2ORCID, Ajmal Tahmina2ORCID, Valverde Silma4
Affiliation:
1. Essex Business School, University of Essex, Southend Campus, Elmer Approach, Southend-on-Sea, Essex SS1 1LW, UK 2. Research Institute of Smart Cities, University of Bedfordshire, Park Square, Luton LU1 3JU, UK 3. Instituto Federal de Educação, Ciência e Tecnologia Catarinense, Campus Camboriú, Rua Joaquim Garcia, Camboriú 88340-055, Brazil 4. 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.
Funder
UKRI Newton fund Interreg North-West Europe
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference34 articles.
1. Singh, R., Gehlot, A., Akram, S., Gupta, L., Jena, M., Prakash, C., Singh, S., and Kumar, R. (2021). Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction. Sustainability, 13. 2. Heidari, A., Navimipour, N.J., Unal, M., and Zhang, G. (2022). Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues. ACM Comput. Surv. 3. Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review;Heidari;Sustain. Cities Soc.,2022 4. Andronie, M., Lăzăroiu, G., Ștefănescu, R., Uță, C., and Dijmărescu, I. (2021). Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review. Sustainability, 13. 5. Yan, S.R., Pirooznia, S., Heidari, A., Navimipour, N.J., and Unal, M. (2022). Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm. IEEE Trans. Eng. Manag.
|
|