Monitoring technologies applied in Environmental Education

Authors

  • Milton Augusto Barbosa Universidade Federal de São Carlos - Campus Sorocaba
  • Débora Zumkeller Sabonaro Universidade Federal de São Carlos - Campus Sorocaba (SP) e Universidade Federal de Alfenas(MG) https://orcid.org/0000-0001-6445-2872

DOI:

https://doi.org/10.34024/revbea.2025.v20.19077

Keywords:

Environmental, Education, Monitoring, Technologies, Sustainability

Abstract

Environmental Education (EE) and the application of Industry 4.0 Technologies (I4.0) are of great importance for the activities of graduates in companies to balance the environment. Considering this relevant multidisciplinary characteristic to be explored in teaching, research, and extension for Environmental Monitoring (EM), the objective of this article is to answer which and how (I4.0) technologies can be applied in EM, to seek a means balanced ecological environment. The methodology is research that selects articles that cite applications of I4.0 in EM for Sustainability. The result demonstrates innovative multidisciplinary (EM) projects that can be used in EE for technical and higher education.

Author Biography

  • Débora Zumkeller Sabonaro, Universidade Federal de São Carlos - Campus Sorocaba (SP) e Universidade Federal de Alfenas(MG)

    Professora, Pesquisadora, com Graduação em Engenharia Agronômica pela Universidade Estadual Paulista Júlio de Mesquita Filho, Campus de Botucatu (2003), Mestrado em Agronomia pela Universidade Estadual Paulista Júlio de Mesquita Filho (2006), Doutorado em Biologia Vegetal pela Universidade Estadual Paulista Júlio de Mesquita Filho, Campus de Rio Claro. Aperfeiçoamento em Gestão Ambiental pela Universidade de São Paulo - USP - SP. Tenho experiência na área de Solos, Ecologia, Recursos Florestais, Recuperação de áreas degradadas e Gestão e Controle Meio Ambiente. Participei dos projetos temático Fapesp que forneceram subsídios para o estabelecimento de várias resoluções em Recuperação de áreas degradadas da SMA-SP (ver Portaria conjunta CINP/CPRN, de 11/06/2002; Resoluções SMA-SP 21/2001, alterada pelas Resolução SMA-SP 47/06 e 08/2007; SMA-SP 11/2002, 15/2002; 47/03, 48/04, 57/06 e 47/06. Professora do Programa de Pós Graduação Stricto Senso Processos Tecnológicos e Ambientais- Mestrado Profissional da Universidade de Sorocaba

References

ALSAMHI, S. H. et al. Green internet of things using UAVs in B5G networks: A review of applications and strategies. Ad Hoc Networks, v. 117, 2021.

AMJAD, M. S.; RAFIQUE, M. Z.; KHAN, M. A. Leveraging Optimized and Cleaner Production through Industry 4.0. Sustainable Production and Consumption, v.26, p.859-871, 2021.

ARIZA-COLPAS, P. P. et al. Internet of Things applied to Aquifer Monitoring Systems: A survey. Procedia Computer Science, v.170, p. 1090-1095, 2020.

ARMKNECHT, F.; GUAJARDO, J. International Workshop on Trustworthy Embedded Devices, 4., 2014. Proceedings of the ACM Conference on Computer and Communications Security, Scottsdale Arizona USA, 2014. Disponível em: https://dl.acm.org/doi/proceedings/10.1145/2666141. Acesso em: dez. 2022.

BÁNYAI, T. et al. Optimization of municipal waste collection routing: Impact of industry 4.0 technologies on environmental awareness and sustainability. International Journal of Environmental Research and Public Health, v. 16, n.4, 2019.

BEKIĆ, D. et al. Examples of trends in water management systems under influence of modern technologies. Gradevinar 71, v.10, p.833-842, 2019.

BITAR, O. Y. Meio ambiente & geologia. São Paulo: SENAC SP, 2017. cap. 32, p. 499-508.

BRACCINI, A. M.; MARGUERITA, E. G. Exploring organizational sustainability of Industry 4.0 under the triple bottom line: The case of a manufacturing company. Sustainability (Switzerland), v.11, n.1, 2019.

BRADU, P. et al. Recent advances in green technology and Industrial Revolution 4.0. Environmental Science and Pollution Research, v. 30, p. 124488–124519, 2023.

BRASIL. Ministério da Educação. Resolução nº 2, de 15 de junho de 2012. Estabelece as Diretrizes Curriculares Nacionais para Educação Ambiental. Brasília, DF: MEC, 2012.

BRASIL. Ministério do Meio Ambiente e Mudança do Clima. Programa Nacional do Meio Ambiente - II PNMA. Fase 2, 2009 – 2014. Brasília, DF: MMA, 2009.

BUMANIS, N. et al. Data Conceptual Model for Smart Poultry Farm Management System. Procedia Computer Science, v. 200, p. 517-526, 2022.

CARBONELL-ALCOCER, A.; ROMERO-LUIS, J.; GERTRUDIX, M. A Methodological Assessment Based on a Systematic Review of Circular Economy and Bioenergy Addressed by Education and Communication. Sustainability (Switzerland), v.13, n.8, 2021.

CHANG, J. H.; TSENG, C. Y. Analysis of Correlation between Secondary PM2.5 and Factory Pollution Sources by Using ANN and the Correlation Coefficient. IEEE Access, V. 5, p. 22812-22822, 2017.

DUISEBEKOVA, K. S. et al. Development of an information-analytical system for the analysis and monitoring of climatic and ecological changes in the environment. Procedia Computer Science, v. 170, p. 578-583, 2020.

ESMAEILIAN, B. et al. Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, v. 163, 2020.

FACCHINI, F.; DIGIESI, S.; VITTI, M. Waste collection with smart bins and residual capacity forecasting: The case of an Apulia Town. Mediterranean Conference on Control and Automation, 29., 2021. MED, Puglia, Italy, p. 712-717, 2021.

FERRARI, A. M. et al. Dynamic life cycle assessment (LCA) integrating life cycle inventory (LCI) and Enterprise resource planning (ERP) in an industry 4.0 environment. Journal of Cleaner Production, v. 286, 2021.

GARCÍA-MUIÑA, F. et al. Industry 4.0-based dynamic Social Organizational Life Cycle Assessment to target the social circular economy in manufacturing. Journal of Cleaner Production, v. 327, 2021.

GARRIDO-HIDALGO, C. et al. IoT Heterogeneous Mesh Network Deployment for Human-in-the-Loop Challenges Towards a Social and Sustainable Industry 4.0. IEEE Access, v. 6, p. 28417-28437, 2018.

GORBUNOVA, A. V. et al. Prospects and opportunities for the introduction of digital technologies into aquaculture governance system. IOP Conference Series: Earth and Environmental Science, v. 422, 2020.

GREGORI, F. et al. Digital Manufacturing Systems: A Framework to Improve Social Sustainability of a Production Site. Procedia CIRP, v. 63, p. 436-442, 2017.

GUAJARDO, J.; KATZENBEISSER, S. Workshop Internacional sobre Dispositivos Embarcados Confiáveis, 5., 2015. Anais...22ª Conferência ACM SIGSAC sobre Segurança de Computadores e Comunicações, 2015, p. 1715-1716.

JUAN CARLOS, A. D. et al. Monitoring system of environmental variables for a strawberry crop using IoT tools. Procedia Computer Science, v. 170, p. 1083-1089, 2020.

KATANGLE, S. et al. Smart Home Automation-cum Agriculture System. International Conference on Industry 4.0 Technology, 14., 2020. 14Tech, Pune, India, p. 121-125, 2020.

KHAN, S. A. R. et al. A systematic literature review on circular economy practices: challenges, opportunities and future trends. Journal of Entrepreneurship in Emerging Economies, v.14, n.5, 2022.

KUMAR, C. H. M.; AMESWARA RAO, M. Critical review attacks and countermeasures in internet of things enabled environments. International Journal of Engineering and Technology(UAE), p.7, n.27, p.163-167, 2018.

KUMAR, S. Evolving Role of Sustainable Procurement in Coming Decades. Public Administration, Governance and Globalization, v.21, p. 351-383, 2022.

KYCHKIN, A.; GORSHKOV, O.; KUKARKIN, M. IoT - Platform for ML-based Industrial Air Emissions Data Processing. Proceedings - International Conference on Industrial Engineering, Applications and Manufacturing, 2022. ICIEAM, Sochi, Russia: IEEE, 2022, p.1045-1050. Disponível em: https://ieeexplore-ieee-org.ez338.periodicos.capes.gov.br/document/9787190. Acesso em: jun. 2023.

LEMOS, J.; GASPAR, P. D.; LIMA, T. M. Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model. Applied System Innovation, v.5, n.5, p.88, 2022.

LIMA, I. B.; ALVES, S. C. Educação Ambiental e interdisciplinaridade: da explicação de conceitos nos PCNs e DCNEM à prática pedagógica no ensino médio. Fortaleza-CE: UECE, 2022.

LIN, Y. C.; CHEUNG, W. F. Developing WSN/BIM-Based Environmental Monitoring Management System for Parking Garages in Smart Cities. Journal of Management in Engineering, v.36, n.3, 2020.

MAJID, M. et al. Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review. Multidisciplinary Digital Publishing Institute - MDPI, v.22, n.6, 2022.

MANA, R. Análise da aderência da Indústria 4.0 ao Lean Manufacturing utilizando análise de correspondência múltipla. (Dissertação de Mestrado). Limeira: Universidade Estadual de Campinas, Faculdade de Ciências Aplicadas, 2018.

MASTOS, T. D. et al. Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. Journal of Cleaner Production, v.269, 2020.

MBOLI, J. S.; THAKKER, D.; MISHRA, J. L. An Internet of Things-enabled decision support system for circular economy business model. Software - Practice and Experience, v.52, n.3, p. 772-787, 2022.

NADAI, F.; DOMINGUES, S. C. Educação Ambiental e formação de professores no Brasil: objetivos e desafios. Revista Brasileira de Educação Ambiental, v.19, n.8, p. 64–70, 2024.

NUR-A-ALAM et al. Smart monitoring and controlling of appliances using lora based iot system. Designs, v.5, n.1, 2021.

OCCHIUZZI, C. et al. Automatic Monitoring of Fruit Ripening Rooms by UHF RFID Sensor Network and Machine Learning. IEEE Journal of Radio Frequency Identification, v.6, 2022.

PLEHIERS, P. P. et al. Artificial Intelligence in Steam Cracking Modeling: A Deep Learning Algorithm for Detailed Effluent Prediction. Engineering, v.5, n.6, p.1027-1040, 2019.

PYAGAY, V. T. et al. Analysis and processing of environmental monitoring system. Procedia Computer Science, v.170, p. 26-33, 2020.

RAMOS, N. P. et al. Monitoramento Ambiental. EMBRAPA, 2024.

RAMOS, R. O. et al. A video processing and machine vision-based automatic analyzer to determine sequentially total suspended and settleable solids in wastewater. Analytica Chimica Acta, v. 1206, 2022.

SAHAL, R. et al. Industry 4.0 towards forestry 4.0: Fire detection use case. Sensors (Switzerland), v.21, n.3, p. 1-36, 2021.

SANTOS, F. C.; AZEVEDO, S. L. M.; ALMEIDA, M. S. P. Metodologias ativas para a Educação Ambiental. Revista Brasileira de Educação Ambiental, v.18, n.8, p. 84-99, 2024.

SCHLEYER, G. et al. An application for geolocalized sightings of marine fauna supported by a social internet of things approach. IEEE International Conference on Automation. Congress of the Chilean Association of Automatic Control, 23., 2018. ICA-ACCA, Concepcion, Chile, 2018, pp. 1-6.

SCHNEIDER, M. Y. et al. Mathematical modelling is an indispensable tool to support water resource recovery facility (WRRF) operators and engineers with the ambition of creating a truly circular economy and assuring a sustainable future. Despite the successful application of mech. Water Science and Technology, v.85, n9, p. 2503-2524, 2022.

SHAHRANI, M. A. A. M. et al. River Water Quality Robot Embedded with Real-Time Monitoring System: Design and Implementation. IEEE Control and System Graduate Research Colloquium, 12., 2021. ICSGRC, Shah Alam, Malaysia, 2021, pp. 46-50.

SHILIN, M. E. A. et al. Innovative Digital Tools for Integrated Water Resources Management in Arctic. Lecture Notes in Networks and Systems, v.402, p. 1239-1246, 2022.

SINGH, G.; YOGI, K. K. Internet of Things-Based Devices/Robots in Agriculture 4.0. Lecture Notes on Data Engineering and Communications Technologies, v. 93, p. 87-102, 2022.

SONAWALA, N. M.; TANK, B.; PATEL, H. Iot protocol based environmental data monitoring. Proceedings of the International Conference on Computing Methodologies and Communication, Erode, India, 2017, p. 1041-1045.

TANG, C.; YANG, N. A monitoring and control system of agricultural environmental data based on the internet of things. Journal of Computational and Theoretical Nanoscience, v.13, n.7, p. 4694-4698, 2016.

THAKUR, A.; DEVI, P. A Comprehensive Review on Water Quality Monitoring Devices: Materials Advances, Current Status, and Future Perspective. Critical Reviews in Analytical Chemistry, v.54, n.2, 2022.

TSENG, M. L. et al. Pathways and barriers to circularity in food systems. Resources, Conservation and Recycling, v. 143, p. 236-237, 2019.

VALECCE, G. et al. Solarfertigation: Internet of things architecture for smart agriculture. IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, 2019, pp.1-6. Disponível em: https://ieeexplore-ieee-org.ez338.periodicos.capes.gov.br/document/8756735. Acesso em: set. 2023.

VALENTINI, R. et al. New tree monitoring systems: From industry 4.0 to nature 4.0. Annals of Silvicultural Research, v.43, n.2, p. 84-88, 2019.

VERGARA, S. C. Começando a definir a metodologia. Projetos e relatórios de pesquisa me administração. 11 ed. São Paulo: Atlas, 2009.

WATERS, M. et al. Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory. Sensors, v.22, n.8, 2022.

WATSON, N. J. et al. Intelligent Sensors for Sustainable Food and Drink Manufacturing. Frontiers in Sustainable Food Systems, v.5, 2021. Disponível em: https://doi.org/10.3389/fsufs.2021.642786. Acesso em: set. 2023.

WINKLER, D. A. et al. OPTICS: Optimizing irrigation control at scale. ACM Transactions on Sensor Networks, v.16, 2020.

WINKLER, R. MeteoMex: Open infrastructure for networked environmental monitoring and agriculture 4.0. PeerJ Computer Science, v.1, p. 1-23, 2021.

YOUSIF, O. S. et al. Monitoring the Construction Industry towards a Construction Revolution 4.0. International Journal of Sustainable Development and Planning, v.17, n.2, p. 633-641, 2022.

Downloads

Published

2025-02-01

Issue

Vol. 20 No. 1 (2025)

Section

Artigos

License

Copyright (c) 2025 Brazilian Journal of Environmental Education

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

BARBOSA, Milton Augusto; SABONARO, Débora Zumkeller. Monitoring technologies applied in Environmental Education. Brazilian Journal of Environmental Education, [S. l.], v. 20, n. 1, p. 225–243, 2025. DOI: 10.34024/revbea.2025.v20.19077. Disponível em: https://periodicos.unifesp.br/index.php/revbea/article/view/19077. Acesso em: 13 dec. 2025.
Received 2024-07-12
Accepted 2024-11-17
Published 2025-02-01