Design, Simulation and Fuzzy Logic Controller of Smart Drip Irrigation System for Enhanced Water Use Efficiency and Crop Productivity
Authors: *Odo, K.O., Agwu, O.E. And Omosun, Y.
DOI Info: http://doi.org/10.5281/zenodo.21047683
ABSTRACT
Smart irrigation systems play a crucial role in optimizing water usage for sustainable agriculture. This paper presents the design, simulation, and fuzzy logic control of a smart drip irrigation system that integrates soil moisture sensors, soil temperature sensors, a humidity sensor, and an automated control mechanism to enhance water efficiency. The proposed system used a proportional-integral-derivative (PID) to regulate the amount of water and a fuzzy logic controller (FLC) to make decisions on when to irrigate or when not to irrigate and automatically regulate water flow based on a predefined threshold. The system was designed using Proteus software, and Matlab/Simulink was used to develop and simulate the system. The result of the proposed system showed the effectiveness of the smart drip irrigation system in reducing water consumption while maintaining optimal soil conditions for healthy plant growth. Comparative analysis with a conventional irrigation system demonstrated a significant reduction in water wastage. The result also indicated that the smart drip irrigation system can contribute to sustainable farming practices, improved crop yield, and resource conservation.
Affiliations: Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria.
Keywords: Smart Drip Irrigation, Fuzzy Logic, Water Conservation, Conventional Irrigation, Soil Moisture Sensors
Published date: 2026/06/30
