Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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Smart IoT-Enabled Precision Irrigation System for Optimized Eggplant and Tomato Cultivation

Authors
Suresh Tiruvalluru1, *, P. Vasuki1
1Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India
*Corresponding author. Email: tiruvallurusuresh1@gmail.com
Corresponding Author
Suresh Tiruvalluru
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_31How to use a DOI?
Keywords
IoT; Precision Irrigation; Smart Agriculture; Sustainable Farming; Water Conservation
Abstract

Precision irrigation plays a crucial role in optimizing water usage and improving crop yield in modern agriculture. This paper presents an IoT-based precision irrigation system designed specifically for eggplant and tomato cultivation. The system integrates soil moisture sensors, temperature and humidity sensors, and automated water delivery mechanisms, ensuring optimal hydration for crops while minimizing water wastage. Real-time data is collected and transmitted via IoT-enabled devices, allowing for remote monitoring and intelligent decision-making. Machine learning algorithms analyze soil and environmental conditions to regulate water flow dynamically, improving water efficiency, plant health, and overall agricultural sustainability. Comparative analysis with traditional irrigation methods demonstrates the system’s effectiveness in reducing water consumption and enhancing crop yield. The proposed model provides a cost-effective, scalable, and automated solution for precision agriculture, addressing the challenges of resource conservation and sustainable farming practices.

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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Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_31How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Suresh Tiruvalluru
AU  - P. Vasuki
PY  - 2025
DA  - 2025/10/31
TI  - Smart IoT-Enabled Precision Irrigation System for Optimized Eggplant and Tomato Cultivation
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 369
EP  - 381
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_31
DO  - 10.2991/978-94-6463-866-0_31
ID  - Tiruvalluru2025
ER  -