Multi-Agent System for Irrigation Using Fuzzy Logic Algorithm and Open Platform Communication Data Access
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32856
Multi-Agent System for Irrigation Using Fuzzy Logic Algorithm and Open Platform Communication Data Access

Authors: T. Wanyama, B. Far


Automatic irrigation systems usually conveniently protect landscape investment. While conventional irrigation systems are known to be inefficient, automated ones have the potential to optimize water usage. In fact, there is a new generation of irrigation systems that are smart in the sense that they monitor the weather, soil conditions, evaporation and plant water use, and automatically adjust the irrigation schedule. In this paper, we present an agent based smart irrigation system. The agents are built using a mix of commercial off the shelf software, including MATLAB, Microsoft Excel and KEPServer Ex5 OPC server, and custom written code. The Irrigation Scheduler Agent uses fuzzy logic to integrate the information that affect the irrigation schedule. In addition, the Multi-Agent system uses Open Platform Connectivity (OPC) technology to share data. OPC technology enables the Irrigation Scheduler Agent to communicate over the Internet, making the system scalable to a municipal or regional agent based water monitoring, management, and optimization system. Finally, this paper presents simulation and pilot installation test result that show the operational effectiveness of our system.

Keywords: Community water usage, fuzzy logic, irrigation, multi-agent system.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1293


[1] I. Chen, “Smart Irrigation: A Supercomputer Waters the Lawn - Satellite Control of Company and Municipal Irrigation Systems, Based on Custom Weather Data, Saves Billions of Gallons of Water Nationwide”, Scientific American, July 2011.
[2] K. Potiron, A. El Fallah Seghrouchni, P. Taillibert “From Fault Classification to Fault Tolerance for Multi-Agent Systems”, Springer Briefs in Computer Science, 2013.
[3] M. S. Mahmoud, M. Sabih, M. Elshafei, “Using OPC technology to support the study of process control”, ISA Transactions, Elsevier, July 2014.
[4] Q. Sun, W. Yu, N. Kochurov, Q. Hao; and F. Hu, “A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation”, Journal of Sensor and Actuator Networks, August 2013.
[5] S. Darshna, T. Sangavi, S. Mohan, A. Soundharya, S. Desikan, “Smart Irrigation System”, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE, Vol. 10, no. 3, May - Jun.2015. pp. 32-36.
[6] S. Harishankar, R. S. Kumar, K.P. Sudharsan, U. Vignesh and T. Viveknath, “Solar Powered Smart Irrigation System”, Advance in Electronic and Electric Engineering, Vol. 4, no. 4, 2014, pp. 341-346.