IoT-Based Smart Tree Management Solution for Green Cities

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.