Controlling Smart Green House Using Fuzzy Logic Method

Authors

  • Rafiuddin Syam Hasanuddin University

Keywords:

Temperature, Humidity, Control, Fuzzy Logic method, watering duration

Abstract

To increase agricultural output it is needed a system that can help the environmental conditions for optimum plant growth. Smart greenhouse allows for plants to grow optimally, because the temperature and humidity can be controlled so that no drastic changes. It is necessary for optimal smart greenhouse needed a system to manipulate the environment in accordance with the needs of the plant. In this case the setting temperature and humidity in the greenhouse according to the needs of the plant. So using an automated system for keeping such environmental condition is important. In this study, the authors use fuzzy logic to make the duration of watering the plants more dynamic in accordance with the input temperature and humidity so that the temperature and humidity in the green house plants maintained in accordance to the reference condition. Based on the experimental results using fuzzy logic method is effective to control the duration of watering and to maintain the optimum temperature and humidity inside the greenhouse

References

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[2] Kenneth Andrasko, Forest management for greenhouse gas benefits: Resolving monitoring issues across project and national boundaries Mitigation and Adaptation Strategies for Global Change, 1997, Volume 2, Number 2-3, Page 117.

[3] David Story, Murat Kacira, Design and implementation of a computer vision-guided greenhouse crop diagnostics system, Machine Vision and Applications, 2015, Page 1.

[4] Samraj Sahay, Chirashree Ghosh, Monitoring variation in greenhouse gases concentration in Urban Environment of Delhi, Environmental Monitoring and Assessment, 2012, Page 1.

[5] Dae-Heon Park, Beom-Jin Kang, Kyung-Ryong Cho, A Study on Greenhouse Automatic Control System Based on Wireless Sensor Network Wireless Personal Communications, 2009, Page 1.

[6] Syam, R., Concept and Technique to build mobile robot, Makassar: Membumi publishing, 2015. (in Bahasa)

[7] Syam, R Lecturer note: An introduction of Sensor Engineering (original title in Bahasa: Seri Buku Ajar Dasar

Dasar Teknik Sensor ISBN 978-979-17225-7-5), Engineering Faculty of Unhas, 2013.

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Published

2016-01-10

How to Cite

[1]
R. Syam, “Controlling Smart Green House Using Fuzzy Logic Method”, IJSMM, vol. 2, no. 2, pp. 116–120, Jan. 2016.