AI-Driven Framework for Soil Quality Assessment in Smart Agriculture Systems

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,...

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Bibliographic Details
Published inInternational Journal of Innovative Research in Computer Science and Technology Vol. 13; no. 3; pp. 138 - 141
Main Authors Faiz, Mohammad, Aasif, Mohammad, Khan, Meraj Hussain, Siddiqui, Nabeel, Zuberi, Anas Habib
Format Journal Article
LanguageEnglish
Published 01.06.2025
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ISSN2347-5552
2347-5552
DOI10.55524/ijircst.2025.13.3.21

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Summary: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.
ISSN:2347-5552
2347-5552
DOI:10.55524/ijircst.2025.13.3.21