Fuzzy-based Decision Support System for Smart Farm Water Tank Monitoring and Control

• Main Authors: Dela Cruz, John R., Baldovino, Renann G., Culibrina, Francisco B., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2017
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/787; https://animorepository.dlsu.edu.ph/context/faculty_research/article/1786/type/native/viewcontent
• Institution: De La Salle University

© 2017 IEEE. Water is considered as the blood of the irrigation system. It is a basic necessity in farms so as to have a high amount of production. For some farms located in higher elevation, electric motor pump is being used to collect water from underground reservoir. Since electric motor pumps will be used, electric consumption issue is also a concern. Proper allocation of available resources is one of the main issues for smart farm. In this paper, the authors proposes the consideration of using of a Fuzzy-based Decision Support System (FDSS) in the Water Tank Monitoring and Control Subsystem (WTMCS) of the Smart Farm Automated Irrigation System (SFAIS) based on the following: (1) water level in the tank storage connecting the motor pump and the irrigation pipes, and (2) availability of electricity from a power source with limited amount of energy available. MATLAB simulations, via Fuzzy Logic Toolbox of Simulink, were done to verify the feasibility of the proposed system before the actual implementation.