Hydroponic Automation With IOT and Real-Time Data-Logging For Optimized Crop Growth

DOI

10.2991/978-94-6463-858-5_198How to use a DOI?

Keywords

Hydroponics; Automated system; Sensors; Nutrient Delivery; Sustainable Agriculture

Abstract

Hydroponics is a soilless method of growing plants, has become popular due to its advantages over traditional soil-based agriculture nowadays. To minimize human intervention and no usage of land, we propose the design and development of an automated hydroponics system leveraging Internet of Things (IoT) technology with integrated data logging capabilities. The system aims optimize plant growth by automating critical parameters such as nutrient delivery, pH levels, and environmental conditions. The proposed system is a process which could double or even triple the rate of crop growth and cultivation if done efficiently, for parameters like pH, electrical conductivity (EC), temperature, humidity, and light sensors, which continuously monitor the hydroponic environment. Actuators, including pumps and valves, can be used to adjust nutrient and water delivery based on real-time data. A microcontroller or processor (Arduino) manages data collection and control operations. Data will be transmitted via Wi-Fi or Ethernet, allowing for remote monitoring and control through web-based interface. The system also features comprehensive data logging, storing historical data on environmental conditions and system performance for analysis and optimization. This automated and data-driven approach enhances the efficiency of hydroponics systems, reduces manual intervention, and supports the development of scalable and sustainable agricultural solutions. We also propose to scaled up to accommodate different sizes of hydroponic setups, by developing scalable solutions can accommodate large-scale hydroponic farms and commercial applications.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. A. Vijay Kamalnath
AU  - G. Tejaswini
AU  - N. Sudarshan
AU  - S. Ezad Basha
AU  - E. Vinay Kumar
PY  - 2025
DA  - 2025/11/04
TI  - Hydroponic Automation With IOT and Real-Time Data-Logging For Optimized Crop Growth
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2370
EP  - 2381
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_198
DO  - 10.2991/978-94-6463-858-5_198
ID  - Kamalnath2025
ER  -