Issue |
SHS Web Conf.
Volume 216, 2025
International Conference on the Impact of Artificial Intelligence on Traditional Economic Sectors (ICIAITES 2025)
|
|
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Article Number | 01066 | |
Number of page(s) | 10 | |
Section | Intelligent Systems and Digital Transformation in Agricultural Economy and Sustainable Development | |
DOI | https://doi.org/10.1051/shsconf/202521601066 | |
Published online | 23 May 2025 |
Innovating Automatic Grow Pots with Cutting-Edge Smart Hydroponic System
School of Mechanical Engineering, The Papua New Guinea University of Technology,
Lae,
MP411
* Corresponding author: aezeden.mohamed@pnguot.ac.pg
In this study, we present a new hydroponic system to grow plants in an optimized way thanks to latest sensorisation and IoT features and state of the art machine learning algorithms. It has an integrated array of environmental sensors and a nutrient delivery system with an automated nutrient delivery mechanism that controls critical growth parameters like pH, nutrient levels and light intensity. The results of this fine tuning control are that the optimal conditions for maximizing the plant growth and health in real time are achieved. Since there was so much test and development to do, this system has been extensively tested and shown to result in faster growing, healthier plants than in a regular hydroponics setup. Its innovative design is suitable for both small indoor home gardeners or larger-scale commercial agriculture and provides a user friendly and very efficient solution. This hydroponic system has the potential to bring about many advantages to sustainable agriculture by advancing the ways in which urban farming is conducted. Being an advanced technology having its integration into the development of green technologies in the field of urban agriculture ensures that it can become a promising tool in providing more sustainable and efficient food production methods as demand in the green techniques increase.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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