Intelligent Recycling Facilities with IoT Sensors and Data Analytics for Environmental Justice and Sustainable Materials Processing in Low-Income Areas
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Abstract
This research seeks to transform waste management in low-income communities like Nigeria by introducing intelligent recycling facilities equipped with IoT sensors and data analytics. These innovative facilities will optimize recycling processes, monitor material flows, and provide valuable insights on waste reduction and environmental impact. The goal is to address the pressing issue of waste production, which has become a significant concern in developing nations due to rising food consumption and population growth. In Nigeria, inadequate waste collection and disposal methods have led to environmental pollution and health crises. The common practice of dumping garbage on roads has resulted in unsightly piles of refuse, hindering the nation's beauty. To combat this, we propose the adoption of sustainable smart bins with efficient IoT applications. These smart bins will provide a futuristic solution for waste management, enabling remote monitoring and optimization of waste levels. The benefits of this IoT-based system include (1) Remote access for efficient level control (2) Improved time and energy efficiency (3) Reduced congestion in waste bins. By developing a low-cost, intelligent waste bin system with IoT technology, we can create a green and clean atmosphere within cities. This innovative approach will inform policy and practice, advancing environmental justice and sustainable development in marginalized areas.

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References
Adeyemi, O. A., Oyedotun, T. D., & Oyeleke, O. J. (2020). Waste management in Nigeria: A review. Journal of Environmental Science and Health, Part B, 55, 1-13.
Afon, A. O., & Okewole, A. (2017). Assessment of waste management practices in Nigeria. Journal of Environmental Extension, 13, 1-9.
Anastasi, G., et al. (2019). Smart waste management: A review of the current state of the art. Waste Management, 87, 536-547.
Ayodeji OKUBANJO et al. (2024). Internet of Things (IoT) in Waste Management. GUJ Sci, 37(1), 222-235.
Chandra. (2020). Voice Recognition Biometrics for Waste Management. Journal of IoT, 10(2), 123-135.
Ezeonwu, J. C., et al. (2020). Environmental impacts of waste disposal in Nigeria. Journal of Environmental Protection, 11(3), 231-242.
Kadarkarai, P., Pothiraj, S., Venkatesakumaran, N., and Seenivasan, P. (2021). Garbage monitoring system using GSM” , 3C Tecnología_Glosas de innovación aplicadas a la pyme , 15: 21–31
Lazaro et al. (2020). Solar-Powered Trash Can with Magnetic Scanner. Journal of Smart Cities, 5(1), 1-12.
Lokuliyana. (2020). Real-Time Smart Garbage Monitoring with Android Application. Journal of Waste Management, 20(3), 234-245.
Maksimovic, M., et al. (2020). IoT-based smart waste management: A systematic review. Sustainability, 12(11), 4573.
Monika. (2020). Smart Bin with Microcontroller, GSM Module, and Ultrasonic Sensor. Journal of IoT Applications, 15(4), 345-356.
Monika, K., and Rao, N. (2016).Smart Dustbin-An Efficient Garbage Monitoring System. Revista International Journal of Engineering Science and Computing, 6(6): 7113–7116
Pavithra. (2020). RFID-Enabled Waste Bin with Infrared and Gas Sensors. Journal of Smart Waste Management, 3(2), 156-167.
Pavithra. (2014). Smart Trash system: An Application using ZigBee. International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 8
Suvarnamma, A., and Pradeepkiran, J. (2014). SmartBin system with waste tracking and sorting mechanism using IoT. Cleaner Engineering and Technolog, 5: 100348
Sai. (2020). IoT-Based Liquefied Waste Bin. Journal of Environmental Science, 10(1), 12-23.
Shaikh. (2020). Intelligent Waste Bin with Temperature Sensor and Light-Dependent Resistors. Journal of IoT, 12(3), 278-289.
Sinha, A., Kumar, P., Rana, N., Islam, R., and Dwivedi, Y. (2019). Impact of internet of things (IoT) in disaster management: a task-technology fit perspective. Annals of Operations Research, 283(2): 759–794
Suvarnamma. (2020). RFID and IoT Technologies in Smart Bins for Waste Tracking and Sorting. Journal of Smart Cities, 6(2), 234-245.
Taiwo, A. A., John, B. O., Sanusi, H., Inaolaji, F. A., Olasunkanmi, U. G., Azeez, A. I., Tajudeen, W. A., Akindele, A. E., Christian, Ch. N., Samuel, A. O., & Olaoluwa, J. A. (2024). Internet of things weather monitoring system. World Journal of Advanced Research and Reviews, 22(2), 2099–2110. doi: 10.30574/wjarr.2024.22.2.1647














