IoT-Based Fertiliser Mixing for Precision Farming

Authors

  • Sri Tulasi Ram Rajalingam Universiti Tun Hussein Onn Malaysia
  • Muhammad Muzakkir Mohd Nadzri Universiti Tun Hussein Onn Malaysia
  • Afandi Ahmad Universiti Tun Hussein Onn Malaysia
  • Mohamad Khairi Ishak University of Sharjah, Sharjah, UNITED ARAB EMIRATES

Keywords:

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

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.

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Published

15-04-2026

Issue

Section

Special Issue 2026: ICon3E2025 (E)

How to Cite

Sri Tulasi Ram Rajalingam, Muhammad Muzakkir Mohd Nadzri, Afandi Ahmad, & Mohamad Khairi Ishak. (2026). IoT-Based Fertiliser Mixing for Precision Farming. International Journal of Integrated Engineering, 18(1), 186-201. https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/24386