Abstract
This paper discusses key challenges faced by transformation of smart cities and integration of green technologies, initiatives, and existing systems that are in place to solve for these challenges. With overpopulation, fast urbanization, and environmental changes, powerful administration of trees and plants is required like never before. We present an Internet of things (IoT)-based smart tree management architecture for cities which is able to track various characteristics of a given tree such as the air quality, sunlight level, sound pollution level, and other important characteristics for efficient city planning, afforestation plans, and higher quality produce. We divide the solution into three sections: The Sensor Node, The Cloud Integration, and User Experience. We have developed a working prototype using a Raspberry Pi and a mobile application consisting of an intuitive user interface that lets users and farm owners get information about a certain tree and view its information and alerts. We utilize low-power wide-area network modules for the connectivity of the various sensors to the cloud. A map view is also developed which consists of various filters that let city authorities understand the distribution of healthy and damaged trees across the city accompanied by an extensive customized dashboard. A prototype of a green smart tree management system based on the Internet of things is discussed and implemented. The paper describes the functions and actual characteristics of each system component in detail. The experimental results suggest the feasibility of the application to enable the development of smart cities across the world which will play a key role in decreasing pollution levels across the city and increasing afforestation in areas that require it the most. This solution can be useful in spreading awareness among citizens on the importance of afforestation and proper management of trees in the city and can help farmers in rural areas to avoid hours of manual inspection and labor spent in inspecting the health of their farms.
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Anguluri, R.: Role of green space in urban planning: outlook towards smart cities. Urban For. Urban Greening 9(2) (2017)
Brown, P.R.: The role of citizen activists in urban infrastructure development, growing greener cities: urban sustainability in the twenty-first century. In: Birch, E.L., Wachter, S.M. (eds.), pp. 152–169. University of Pennsylvania Press (2011)
Kirk, S.: Energy performance resilience of UAE buildings to climate change. Int. J. Environ. Sustain. 7(1), 90–97 (2018)
Hamdan, N.M., Alawadhi, H., Jisrawi, N.: Particulate matter pollution in the United Arab Emirates: elemental analysis and phase identification of fine particulate pollutants. In: Proceedings of the 2nd World Congress on New Technologies, Budapest, Hungary, 18–19 Aug 2016
Barakat-Haddad, C., Zhang, S., Siddiqua, A., Dghaim, R.: Air quality and respiratory health among adolescents from the United Arab Emirates. J. Environ. Public Health 1, 1–13 (2015)
Al-Maskari, F., Bener, A., Al-Kaabi, A., Al-Suwaidi, N., Norman, N., Brebner, J.: Asthma and respiratory symptoms among school children in United Arab Emirates. Allergie Immunol. 32(4), 159–163 (2000)
O’Grady, M.J.: Modelling the smart farm. Inf. Process. Agric. 4(3), 179–187 (2017)
Dwivedi, P.: IoT based smart garbage management system. Int. J. Adv. Trends. Comput. Sci. Eng. 6(4), 71–76 (2017)
Luvisi, A., Lorenzini, G.: RFID-plants in the smart city: applications and outlook for urban green management. Urban For. Urban Green. 9(2), 1–18 (2014)
Paustian, K.: Climate-smart soils, nature. Int. J. Sci. 532, 49–57 (2017)
To, W.M.: Tree MIS caring for ecological assets in smart cities. IEEE Comput. Soc. 18, 50–55 (2016)
Chua, M.: Tree management system. Proc. De La Salle Univ. Research Congress, no. SEE-III-021 (2014)
Wang, Y.P.E.: A primer on 3GPP narrowband internet of things. IEEE Commun. Mag. 55(3), 117–123 (2017)
Chiti, F., et al.: Optimized narrow-band M2M systems for massive cellular IoT communications. IEEE Global Commun. Conf. (GLOBECOM) (2016)
Nokia Networks.: Future Works LTE-M—optimizing LTE for the internet of things. novotech.com/docs/default-source/default-document-library/lte-m-optimizing-lte-for-the-internet-of-things.pdf
Rapeepat, R., et al.: NB-IoT system for M2M communication. IEEE Wirel. Commun. Netw. Conf. Workshops (WCNCW) (2016)
Derhamy, H., et al.: A survey of commercial frameworks for the internet of things. IEEE 20th Conference on Emerging Technologies and Factory Automation (ETFA) (2015)
Hunkeler, U., et al.: MQTT-S—A publish/subscribe protocol for wireless sensor networks. 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE 08) (2008)
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Shabandri, B., Madara, S.R., Maheshwari, P. (2020). IoT-Based Smart Tree Management Solution for Green Cities. In: Pattnaik, P., Kumar, R., Pal, S. (eds) Internet of Things and Analytics for Agriculture, Volume 2. Studies in Big Data, vol 67. Springer, Singapore. https://doi.org/10.1007/978-981-15-0663-5_9
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DOI: https://doi.org/10.1007/978-981-15-0663-5_9
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