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IoT-Based Fertiliser Mixing for Precision Farming

  • Universiti Tun Hussein Onn Malaysia
  • University of Sharjah

Research output: Contribution to journalArticlepeer-review

Abstract

This paper describes the development and evaluation of a prototype fertiliser-mixing system for hydroponic systems based on precision farming, using the Internet of Things (IoT). The system improves nutrient management by controlling fertiliser volume and monitoring real-time concentrations in parts per million (ppm). Multiple sensors were used to provide precise data for nutrient delivery optimisation, including flow, water-level, and total dissolved solids (TDS) measurements. The Blynk IoT platform allows users to input crop-specific fertiliser ratios via a mobile application. While flow sensors maintained accuracy over 94% across 250–1,000 ml target volumes, experimental evaluations revealed that the TDS sensor reached up to 99.6% accuracy within the 100–1,000 ppm range. The average response time from user command to system action was 22.17 seconds, and the system adjusted fertiliser concentrations to within 92.8–98.8% of target ppm levels. According to these findings, the prototype consistently maintains appropriate nutrient levels, with slight variation, enabling prompt adjustments and ensuring optimal growing conditions in hydroponic farming.

Original languageEnglish
Pages (from-to)186-201
Number of pages16
JournalInternational Journal of Integrated Engineering
Volume18
Issue number1
DOIs
StatePublished - 15 Apr 2026
Externally publishedYes

Keywords

  • Hydroponics
  • Internet of Things (IoT)
  • precision farming
  • real-time monitoring

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