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Prototype Design of Automatic Irrigation System for Precision Agriculture Application Using Mamdani Fuzzy Logic Controller
Abstract
Precision Agriculture aims to make every determining variable in agriculture measurable and used precisely or efficiently to maximize agricultural productivity, so we intend to develop smart irrigation systems that are controlled based on soil humidity and temperature level using Fuzzy Logic to improve water use. This study aims to design, implement, and evaluate an automated system capable of real-time monitoring of soil moisture and temperature conditions to regulate crop irrigation. This research utilizes soil moisture and temperature sensor technology connected to a system controller. The data obtained from these sensors is processed using a fuzzy logic approach to decide the amount of water that must be distributed to the plants. The fuzzy logic concept is used to handle uncertainty and ambiguity in sensor data, allowing the system to make irrigation decisions that are more adaptive and responsive to changes in soil conditions. Our experiment was tested in a lab-scale agricultural environment, and the evaluation results showed that this automatic irrigation system is capable of providing more efficient and timely irrigation according to crop needs. The results of the Fuzzy Logic Implementation concept using lowcost components to automate the irrigation system are possible and pave the way for wider use of agricultural water management in barren or arid areas and precision agriculture environment systems.
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DOI: https://doi.org/10.17509/coelite.v3i2.76025
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