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April 25, 20260 citations

Designing a Cost-Effective IoT System for Water-Efficient Hydroponic NFT Farming: A Frugal Innovation Approach

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RKRenita KawuryanRIRika IsmayantiMAMuhammad Rizki Asrul

Key Points

  • This research aims to develop a cost-effective IoT system for hydroponic farming using a frugal innovation approach.
  • Developed a prototype using an ESP32-based circuit board and sensors for monitoring
  • Transmitted real-time data to a mobile dashboard for automated control
  • Tested system performance under simulated greenhouse conditions
  • Temperature fluctuation reduced from ±6°C to ±2°C
  • Maintained pH levels between 5.8–6.5 and TDS between 900–1100 ppm
  • Demonstrated enhanced precision in irrigation and operational reliability

Abstract

The increasing demand for sustainable and resource-efficient food production has accelerated the integration of Internet of Things (IoT) technologies into hydroponic cultivation systems. This study develops and evaluates a cost-effective IoT-enabled Nutrient Film Technique (NFT) prototype grounded in a frugal innovation framework. The system incorporates an ESP32-based printed circuit board integrated with DHT22 temperature–humidity sensors, TDS and pH sensors, and dual relay modules for automated pump regulation. Real-time environmental and nutrient data are transmitted to a mobile IoT dashboard to enable continuous monitoring and adaptive control. Experimental testing under simulated greenhouse conditions demonstrated stable automation performance, improved thermal stability (temperature fluctuation reduced from ±6°C to ±2°C), and consistent nutrient concentrations within optimal thresholds (pH 5.8–6.5; TDS 900–1100 ppm). The closed-loop control mechanism enhanced irrigation precision and system responsiveness. These findings substantiate the prototype’s technical feasibility, operational reliability, and cost-effectiveness, highlighting its potential contribution to scalable, precision-oriented, and sustainable hydroponic production systems.

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Cite This Study

Kawuryan et al. (2026) studied this question.

synapsesocial.com/papers/69ec5b0688ba6daa22dac913https://doi.org/10.1051/e3sconf/202670603002/pdf
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