Design of a fuzzy-based automated organic irrigation system for smart farm

• Main Authors: Dela Cruz, John R., Magsumbol, Jo Ann V., Dadios, Elmer P., Baldovino, Renann G., Culibrina, Francisco B., Gan Lim, Laurence A.
• Format: text
• Published: Animo Repository 2017
• Subjects: Irrigation farming > Automation; Irrigation efficiency; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2070
• Institution: De La Salle University

Irrigation system plays a very important role in organic farming. It provides the necessary water requirement for the whole farm. But it is necessary for the irrigation system to be efficient, especially in providing the optimal distribution of available water resources. Also, since the water from an irrigation system will come from an underground reservoir, it requires electrical water pump to collect water. In a smart farm, proper allocation of resources is required. In order to control the usage of water resources for irrigation, this paper proposes the design of an automated organic irrigation system in controlling and properly allocating the available water resources for the irrigation system and available electricity for the use of the pump. Experiments through MATLAB simulation were done using a proposed system to achieve the optimum water and electrical resource distribution. © 2017 IEEE.