Abstract
The use of Internet of Things (IoT) for plant growth and environmental management is a promising new field of research. Here a network of seamlessly connected sensors is used to feed data aimed at providing healthier plant growth and a better environment. In this chapter, we present a system where eight types of sensors are used to measure the air and soil quality. Our design utilizes cloud storage for keeping the collected sensor data which then gets sorted online in order to create accurate forecasts on the environment and plants using an autoregressive integrated moving average algorithm. Additionally the system has been designed with web interface and data visualization, enabling people to obtain the real-time environmental information to take better decisions for plant growth and environmental management. Finally we highlight the accuracy of results of prediction data which is approximately 99.13%.
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Kamruzzaman, S.M., Pavel, M.I., Hoque, M.A., Sabuj, S.R. (2019). Promoting Greenness with IoT-Based Plant Growth System. In: Anandakumar, H., Arulmurugan, R., Onn, C. (eds) Computational Intelligence and Sustainable Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-02674-5_16
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