Abstract
Environment is changing dramatically due to global warming and environment pollution and leading the next generation toward a vulnerable future. Air pollution is one of the key factors of the unstable environment around the globe. Garment industry is playing one of the major roles causing air pollution. Internet of Things (IoT) is enabling the communication of real-life objects and engendering incipient opportunities for the betterment of human. In this research, a novel method of air pollution controlling system for garments industry has been proposed using IoT technology in the context of Bangladesh. The research will avail to assist the government of Bangladesh for the identification of industries who are emitting extortionate toxic gases, fine them, and use the collected money for a green and development world.
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Oyshi, M.T., Bonny, M.Z., Zaki, S.A., Saha, S. (2021). IoT-Based Air Pollution Controlling System for Garments Industry: Bangladesh Perspective. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_10
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DOI: https://doi.org/10.1007/978-981-15-4218-3_10
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