International Journal of Innovative Research in Computer Science and Technology
Year: 2025, Volume: 13, Issue: 3
First page : ( 138) Last page : ( 141)
Online ISSN : 2350-0557.
DOI: 10.55524/ijircst.2025.13.3.21 |
DOI URL: https://doi.org/10.55524/ijircst.2025.13.3.21
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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Mohammad Faiz , Mohammad Aasif, Meraj Hussain Khan, Nabeel Siddiqui, Anas Habib Zuberi
The rapid adoption of Artificial Intelligence (AI) and Internet of Things (IoT) in agriculture has enabled real-time soil quality assessment, reduced manual labour and improved productivity. This paper presents an AI-driven IoT system that continuously monitors key soil parameters, such as moisture, temperature, and nutrient levels, and integrates cloud computing and predictive analytics to optimize farm management. The system, based on Hive MQ IoT, Node-RED, and Open Weather API, provides automated decision-making for efficient irrigation and resource utilization. The research evaluates the system’s performance against traditional models and highlights its potential to revolutionize precision farming.
B.Tech Scholar, Department of Computer Science and Engineering, Integral University, Lucknow, India
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