Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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Smart Farming: A Comprehensive Review on the Role of Artificial Intelligence and IoT in Modern Agriculture

Authors
Payal Joshi1, Chetan Chauhan2, *, Ritesh Ubale3, Nikita Patil4, Vaishnavi Malusare5, Shweta Patil6
1Department of Computer engineering, Vishwakarma University, Pune, Maharashtra, India
2Department of Computer engineering, Vishwakarma University, Pune Maharashtra, India
3Department of Computer engineering, Vishwakarma University, Pune Maharashtra, India
4Department of Computer engineering, Vishwakarma University, Pune Maharashtra, India
5Department of Computer engineering, Vishwakarma University, Pune Maharashtra, India
6Department of Computer engineering, Vishwakarma University, Pune Maharashtra, India
*Corresponding author. Email: er.chouhan.chetan@gmail.com
Corresponding Author
Chetan Chauhan
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_69How to use a DOI?
Keywords
Blockchain; Internet of Things; AI; smart farming; cybersecurity; automation; smart irrigation; precision-driven farming methods
Abstract

The Smart farming uses AI, IoT, and blockchain to improve productivity, resource efficiency, and sustainability. IoT enables real-time monitoring and automated decisions, while AI helps predict crop health and optimize farming practices. Block-chain ensures secure and transparent data sharing in supply chains. This paper discusses their applications and challenges like high costs, cybersecurity threats, and system integration. A case study of a smart farming system with soil moisture sensors and automated irrigation shows a 30% reduction in water use and better farm security through automated intrusion alerts. Future developments include AI-based disease prediction, blockchain-powered supply chains, and cloud-supported solutions. This research provides guidance for farmers, researchers, and policymakers aiming to implement advanced technologies for sustainable agriculture.

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 Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_69How 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  - Payal Joshi
AU  - Chetan Chauhan
AU  - Ritesh Ubale
AU  - Nikita Patil
AU  - Vaishnavi Malusare
AU  - Shweta Patil
PY  - 2026
DA  - 2026/01/06
TI  - Smart Farming: A Comprehensive Review on the Role of Artificial Intelligence and IoT in Modern Agriculture
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 1005
EP  - 1025
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_69
DO  - 10.2991/978-94-6463-948-3_69
ID  - Joshi2026
ER  -