Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16544
Title: Precision Cultivation for Bonsai Through IoT Implemented Smart Irrigation
Authors: Daniel, Vaibhav
Ramalakshmi, K
Venkatesan, R
Sundar, G Naveen
Nancy, Golden
Shirly, S
Keywords: Automation
Bonsai
Growth Environment
Iot
Issue Date: 2024
Publisher: Proceedings of the 3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024
Institute of Electrical and Electronics Engineers Inc.
Citation: pp. 1908-1913
Abstract: This research study offers a novel use of Internet of Things technology to enhance and modify the growth environment for various bonsai trees, suggesting ways to maximize these plants' growth circumstances and provide a more flexible care schedule. The use of Internet of Things devices to automate and simplify the maintenance plan, ensuring that bonsai trees receive specialized care. These mechanical interventions are necessary because of the unique requirements of bonsai trees, which differ from regular indoor or outdoor plants. Certain factors that might significantly impact a bonsai's development, including as mugginess, temperature, and light, must be carefully considered during their development. This study highlights the potential of IoT innovation in managing the complexities and outlines the unique problems involved in maintaining optimal conditions for bonsai trees. The proposed method aims to ease the process of cultivation for Bonsai enthusiasts by providing real-time observation and adjustments, promoting a more active and convenient means of developing these unique specimen of trees. The study's focus on automation advances the field of intelligent and adaptable agricultural methods by positioning IoT as a driving force in agriculture and highlighting the useful advantages for Bonsai maintenance. © 2024 IEEE.
URI: https://doi.org/10.1109/ICAAIC60222.2024.10575722
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16544
ISBN: 9798350375190
Appears in Collections:Conference Papers

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