MRI
MRI India Journals Vol. 14 No. 1 (2025)

IoT-Powered Aquaponics System for Enhanced Crop Yield and Fish Health : A Review

Authors

  • Ram Wayzode Project Guide, Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur
  • Himanshu A. Kopawar Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur
  • Yash V. Wandhare Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur
  • Ankitsingh B. Behroliya Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur
  • Bhushankumar U. Dudhanag Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur
  • Kushampreet A.S. Manni Department of Mechanical Engineering, Suryodaya Collage of Engineering & Technology, Nagpur

DOI:

https://doi.org/10.65521/ijmer.v14i1.511

Keywords:

IoT Aquaponics Real-Time Monitoring Machine Learning

Abstract

The integration of Internet of Things (IoT) technology in aquaponics offers a modern, sustainable approach to farming by enhancing crop yield and fish health through real-time monitoring and automation. Using sensors to measure vital parameters like water level, pH, and temperature, the system ensures optimal environmental conditions. A centralized control unit processes this data and applies machine learning algorithms to automate essential functions such as water circulation, aeration, and nutrient delivery. This reduces human intervention while maximizing efficiency. The system promotes resource optimization by converting fish waste into nutrients for plants, creating a self-sustaining, closed-loop ecosystem. Compared to traditional farming, it significantly lowers water usage and eliminates the need for chemical fertilizers. While challenges include high initial costs and ongoing maintenance, the system's benefits—such as improved food security, reduced environmental impact, and increased productivity—make it a viable solution for the future of smart agriculture. This study explores its benefits, limitations, and real-world applications.

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Published

2025-05-30

How to Cite

Wayzode , R., Kopawar , H. A., Wandhare , Y. V., Behroliya , A. B., Dudhanag , B. U., & Manni , K. A. (2025). IoT-Powered Aquaponics System for Enhanced Crop Yield and Fish Health : A Review . International Journal on Mechanical Engineering and Robotics, 14(1), 40–46. https://doi.org/10.65521/ijmer.v14i1.511

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