IoT-Based Automation System for Vertical Hydroponic Farms

Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. The proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computer vision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. This solution highlights the potential for scalable and sustainable advancements in modern agriculture.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/icit63637.2025.10965271
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
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article

IoT-Based Automation System for Vertical Hydroponic Farms

Y. W. R. Amarasinghe, W. A. D. M. Jayathilaka, D. K. Kumburage, M. N. T. Perera et al.
Water Quality Monitoring Technologies
article

IoT-Based Automation System for Vertical Hydroponic Farms

Y. W. R. Amarasinghe, W. A. D. M. Jayathilaka, D. K. Kumburage, M. N. T. Perera, H. V. T. G. Hewavitharana
article en

Abstract

Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. The proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computer vision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. This solution highlights the potential for scalable and sustainable advancements in modern agriculture.

University of Moratuwa (LK)
Openalex Percentile: Top 91%
Water Quality Monitoring Technologies
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