Open AccessAn automatic irrigation system for plants using fuzzy logic controller considering volumetric water content
Author(s) -
Siti Rafidah Abdul Rahim,
M. H. Hussain,
Siti Rafidah Abdul Rahim,
Noor Baharim Hashim,
Hana Abdull Halim
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1432/1/012011
Subject(s) - controller (irrigation) , irrigation , fuzzy logic , computer science , automatic control , agricultural engineering , matlab , control engineering , control theory (sociology) , control (management) , engineering , artificial intelligence , agronomy , biology , operating system
An automatic irrigation system have an important role in today agriculture sector. Currently, automatic irrigation systems which can irrigate and supply plants with desired level and amount of water required for normal plant growth are not available. Furthermore, the classical method using on-off controller is inefficient due to results in loss of energy and productivity. Thus, an efficient automatic irrigation system with fuzzy logic controller is proposed to estimate the amount of water level using the irrigation model, soil type and type of plant. This paper presents a solution for irrigation system for plants using fuzzy logic controller using MATLAB Simulink. To indicate the effectiveness of the proposed method, on-off controller method is also applied for validation purpose.