Cloud-Based Service System for Automatic Plant Monitoring and Watering based on Soil Moisture

Main Article Content

ratthaslip ranokphanuwat


This project is designed to provide comfort to farmer with automatic plant monitoring and watering based on soil moisture using Internet of Things (IoT) and Amazon Cloud technology. The developed system consists of 1) Wireless sensor network for monitoring soil moisture 2) Gateway is responsible for plant watering with control the water pump, tank water level measuring, rain sensor and sending data to AWS IoT via MQTT protocol 3) AWS cloud system for Webserver and Database server, and 4) Dashboard for displaying on real-time and historical data. Moreover, the operation system can be automatic and manual. It also supports many users and many plants


Article Details

How to Cite
ranokphanuwat, ratthaslip. (2018). Cloud-Based Service System for Automatic Plant Monitoring and Watering based on Soil Moisture. JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY, 8(2), 65-73.
Academic Article: Internet of Things (IoT) (Detail in Scope of Journal)


1. ธนาคารแห่งประเทศไทย, “รายงานสถานการณ์สินเค้าเกษตรปี 2557 และแนวโน้มปี 2558,” [Online]. Available: [Accessed Jan. 2, 2017].

2. ผ่องศรี แก้วชูเสน, “ปัจจัยที่เกี่ยวข้องกับการเจริญเติบโตของพืช,” [Online]. Available: [Accessed Jan. 2, 2017].

3. สังคม เตชะวงค์เสถียร, “ปัจจัยที่มีผลต่อการเจริญเติบโตและพัฒนาการของพืช,” [Online]. Available : Factors affectingG-D(note).pdf. [Accessed Jan. 2, 2017].

4. EIC Analysis / Note, “วิกฤติภัยแล้ง ปัจจัยเสี่ยงและโอกาสที่ควรจับตามองสำหรับธุรกิจเกษตร,” [Online]. Available: [Accessed Jan. 2, 2017].

5. ไทยโพสต์, “ผลกระทบภัยแล้ง,” [Online]. Available:ผลกระทบภัยแล้ง. [Accessed Jan. 2, 2017].

6. M. Yan and H. Shi, “Smart Living Using Bluetooth Based Android Smartphone,” In International Journal of Wireless & Mobile Networks (IJWMN) Vol. 5, No. 1, February 2013.

7. M. A. E. Mowad, A. Fathy, and A. Hafez, “Smart Home Automated Control System Using Android Application and Microcontroller,” In International Journal of Scientific & Engineering Research, Vol. 5, Issue 5, May 2014.

8. M. Soliman, T. Abiodun, T. Hamouda, J. Zhou, and C. H. Lung, “Smart Home: Integrating Internet of Things with Web Services and Cloud Computing,” 2013 IEEE International Conference on Cloud Computing Technology and Science.

9. A. Maiti, “Home Automation as a Service,” IRACST – International Journal of Computer Networks and Wireless Communications (IJCNWC), Vol. 2, No. 3, June 2012.

10. P. D. Nitnaware, J. G. Gadhave, P. U. Kakade, and A. G. Baviskar, “Design and Implementation of Cloud based Home Automation,” International Journal of Engineering Research & Technology, Vol. 3, Issue 2, February 2014.

11. K. R. Rajesh and C. A. Bindyashree, “Multiple Appliances Controlling and Monitoring System based on Wireless Embedded Home Gateway,” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 4, April 2015.

12. D. S Mahesh, S. Savitha, and K. D. Anvekar, ”A Cloud Computing Architecture with Wireless Sensor Networks for Agricultural Applications,” International Journal of Computer Networks and Communications Security, Vol.2, No.1, January 2014.

13. R. S. Ferrarezi, S. K. Dove, and M. W. Van Iersel, “An Automated System for Monitoring Soil Moisture and Controlling Irrigation Using Low-cost Open-source Microcontrollers”, Hort Technology, February 2015.

14. A. K. Singh, Y. Saini, and D. Singh, “Cloud Computing to Control Automatic Irrigation Systems”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 10, October-2015.

15. S. Singh, I. Chana, and R. Buyya, “Agri-Info: Cloud Based Autonomic System for Delivering Agriculture as a Service”, Technical Report CLOUDS-TR-2015-2, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, 2015.

16. V. Biswal, H. M. Singh, W. Jeberson, and A. S. Dhar, “Greeves: A Smart Houseplant Watering and Monitoring System”, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 7, July 2015.

17. B. Prabhushankar, R. Jayavadivel, and S. Saravanakumar, “Autonomic Irrigation Control System for Efficient Use of Water Resource By Using Android Mobile”, International Journal of Contemporary Research in Computer Science and Technology (IJCRCST), Volume1, Issue 2 (May’2015).

18. L. Karim, A. Anpalagan, N. Nasser, and J. Almhana, “Sensor-based M2M Agriculture Monitoring Systems for Developing Countries: State and Challenges”, Network Protocols and Algorithms, 2013, Vol. 5, No. 3.

19. A. Zografos, “Wireless Sensor-based Agricultural Monitoring System”, Master’s Thesis, School of Information and Communication Technology (ICT) KTH Royal Institute of Technology, Stockholm, Sweden.

20. D. S. Mahesh, S. Savitha, and D. K. Anvekar, “A Cloud Computing Architecture with Wireless Sensor Networks for Agricultural Applications”, International Journal of Computer Networks and Communications Security, Vol. 2, No. 1, January 2014, 34-38.

21. K. Dharani, S. Subalakshmi, and D. Balmurugan, “Automatic Agriculture Irrigation with Periodic Camera Trapped Pictures and Land Monitoring Using Wireless Sensor Networks”, International Journal of Research in Engineering & Technology (IMPACT: IJRET), Vol. 2, Issue 5, May 2014.

22. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Gener. Comput. Syst. Vol. 29, No. 7, September 2013.

23. L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Comput. Netw. Vol. 54, No. 15, October 2010.

24. “AWS Documentation - Amazon Web Services” [Online]. Available: html. [Accessed Jan. 10, 2018].