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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 33, Number 1(3) (2021)
Copyright(C) MYU K.K.
pp. 269-283
S&M2453 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3164
Published in advance: January 19, 2021
Published: January 31, 2021

Application of Internet of Things in Smart Farm Watering System [PDF]

Wei-Ling Hsu, Wen-Kai Wang, Wen-Hung Fan, Yan-Chyuan Shiau, Ming-Ling Yang, and Dylan Josh Domingo Lopez

(Received September 8, 2020; Accepted January 5, 2021)

Keywords: Internet of Things, remote monitoring, soil moisture sensor, Arduino, control panel

Agriculture is an industry that requires a high degree of labor. Internet of Things (IoT) and information and communication technology (ICT) have been used to establish a Smart Farm Watering System for remote monitoring to enable informed judgments on watering as an example of intelligent farming. In this study, appropriate sensing components and control panels were selected to develop a prototype of the system. Control software was written to control the opening and closing of the watering system through the measured soil moisture, push buttons, and voice control. The aim of this study is to establish a wireless network in the farming field, attach the watering pipeline, and connect the system to the farming site, so that managers can remotely control watering through smart facilities. In this study, an infrared personnel sensor and webcam are installed in the farm field. When the sensor detects a person approaching, a warning message will be issued to the administrator to give an audible warning after the person is identified by the webcam. Through this research, we can help farmers develop a smart watering system to reduce manpower, save water, improve the quality and quantity of agricultural products, and ensure the safety of farms.

Corresponding author: Yan-Chyuan Shiau


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Wei-Ling Hsu, Wen-Kai Wang, Wen-Hung Fan, Yan-Chyuan Shiau, Ming-Ling Yang, and Dylan Josh Domingo Lopez, Application of Internet of Things in Smart Farm Watering System, Sens. Mater., Vol. 33, No. 1, 2021, p. 269-283.



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