Monitoring System Platform for Agricultural Research and Analysis

Main Article Content

Somluthai Wongprasadpetch
Patcharin Manowan
Chanatip Srisot
Tossapon Boongoen
Thongchai Yooyativong
Suppakarn Chansareewittaya

Abstract

This research article contents the study and development in the topic of monitoring system platform for agricultural research and analysis. This platform is developed to manage and analyze the data of the initial environment. The Chinese kale is used as an example plant in this research. The IoT devices and sensors are used to monitoring and collecting the data. The IoT controllers are raspberry Pi and Arduino Uno. The sensors are temperature sensors, relative humidity sensors, light intensity sensors, soil humidity sensors, and Raspberry Pi camera. The data of the environment are such as temperature, relative humidity, light intensity, soil humidity, and Chinese kale leaf color. The data will be collected and displayed on the thingspeak platform. This platform is still running and on the way to be improved and developed.

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How to Cite
[1]
S. Wongprasadpetch, P. Manowan, C. Srisot, T. Boongoen, T. Yooyativong, and S. Chansareewittaya, “Monitoring System Platform for Agricultural Research and Analysis”, JIST, vol. 10, no. 1, pp. 70-74, Jun. 2020.
Section
Research Article: Internet of Things (IoT) (Detail in Scope of Journal)
Author Biography

Suppakarn Chansareewittaya, School of Information Technology,Mae Fah Luang University

My name is Suppakarn Chansareewittaya. I receviced my B.Eng degree in Electrical Engineering from King Mongkut's Institute
of Technology Ladkrabang, Bangkok, Thailand, in 2001.

And I received M.Eng and Ph.D. degree in Electrical Engineering from Chiang Mai University, Chiangmai, Thailand, in 2007 and 2016, respectively.

My research focuses are embedded system, robotics, heuristic methods, optimization methods, power system and power electronics.

However I also interest in all about electrical engineering.

References

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