Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Enhancing Agricultural Sustainability Through IoT-Based Smart Irrigation Systems: A Review of Soil Monitoring, Water Management, and Technological Integration

Authors
Pankaj Saratkar1, *, Shubhlabh Shrivastava1, Rishabh Gupta1, Ankita Chourasia1, Manoj Kumar Gupta2
1Department of Computer Science and Engineering, Medicaps University, Indore, MP, India
2Department of Computer Science and Information Technology, AITR, Indore, MP, India
*Corresponding author. Email: pankajsaratkar33@gmail.com
Corresponding Author
Pankaj Saratkar
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_22How to use a DOI?
Keywords
Smart Irrigation; Machine Learning; Internet of things
Abstract

Agriculture plays a crucial role in the economy, yet traditional irrigation systems often demonstrate inefficiencies in water usage and control. For centuries, conventional agriculture has been a cornerstone of development globally. This research introduces a novel approach utilizing machine learning algorithms to enhance smart agriculture through an IoT-based smart irrigation system. The new systems should consist of a network of sensors and actuators to collect vital soil data, such as moisture, temperature, and humidity. By integrating artificial intelligence techniques, particularly machine learning strategies, the smart irrigation system aims to effectively control, monitor, and automate irrigation processes. The key objective of such a system should be to continuously assess soil moisture content during varying conditions, ensuring optimal irrigation management for sustainable agricultural 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 Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_22How 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  - Pankaj Saratkar
AU  - Shubhlabh Shrivastava
AU  - Rishabh Gupta
AU  - Ankita Chourasia
AU  - Manoj Kumar Gupta
PY  - 2025
DA  - 2025/05/26
TI  - Enhancing Agricultural Sustainability Through IoT-Based Smart Irrigation Systems: A Review of Soil Monitoring, Water Management, and Technological Integration
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 262
EP  - 273
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_22
DO  - 10.2991/978-94-6463-716-8_22
ID  - Saratkar2025
ER  -