Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System

Khadijah R., Rahul Thakur, Sudip Roy

2024

Abstract

Hydroponic farming has gained prominence in modern agriculture owing to its inherent advantages in resource efficiency and crop yield. This research explores the integration of Internet of Things (IoT) technologies to further optimize hydroponic systems by monitoring and controlling crucial solution and environmental parameters. A novel IoT-based hydroponic monitoring system has been developed, featuring a comprehensive array of sensors including solution’s temperature, acidity (pH), total dissolved solids (TDS) and electrical conductivity (EC), ambient temperature and humidity, and light intensity. This system leverages both WiFi and LoRaWAN technologies to enhance connectivity, ensuring reliable communication over extended ranges. This integration of communication protocols facilitates seamless data transmission and real-time control of hydroponic conditions. The proposed IoT-based system aims to provide growers with a comprehensive and user-friendly platform to monitor and adjust key parameters critical for plant growth, thereby maximizing the productivity and yield in hydroponic farming. The results of this study contribute valuable insights into the potential of IoT technologies to revolutionize precision agriculture and sustainable food production.

Paper Citation

in Harvard Style

R. K., Thakur R. and Roy S. (2024). Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System. In Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-699-6, SciTePress, pages 351-357. DOI: 10.5220/0012741300003705

in Bibtex Style

@conference{iotbds24,
author={Khadijah R. and Rahul Thakur and Sudip Roy},
title={Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System},
booktitle={Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2024},
pages={351-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012741300003705},
isbn={978-989-758-699-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Enhancing Hydroponic Farming Productivity Through IoT-Based Multi-Sensor Monitoring System
SN - 978-989-758-699-6
AU - R. K.
AU - Thakur R.
AU - Roy S.
PY - 2024
SP - 351
EP - 357
DO - 10.5220/0012741300003705
PB - SciTePress