IoT-based Smart Farming System

Authors

  • Yan Sen Tan School of Computer Science, Taylor’s University, Subang Jaya, Malaysia
  • Li Wei Chew School of Computer Science, Taylor’s University, Subang Jaya, Malaysia
  • Yi Xuen Tan School of Computer Science, Taylor’s University, Subang Jaya, Malaysia
  • Sean Zhuang Tan School of Computer Science, Taylor’s University, Subang Jaya, Malaysia

DOI:

https://doi.org/10.54938/ijemdcsai.2024.03.1.270

Keywords:

Agricultural Technology, Internet of Things, IoT, Smart Farming

Abstract

The integration of Internet of Things (IoT) technologies into agricultural operations, known as smart farming, presents a transformative opportunity to revolutionize traditional farming methodologies and bolster productivity, efficiency, and sustainability within the agricultural sector. This paper investigates the challenges inherent to conventional farming practices, such as inefficient resource utilization and inadequate access to real-time data to inform decision-making. By leveraging an array of IoT sensors and devices are utilized for the purpose of gathering up-to-date information on various aspects such as environment factors and animal natural behaviors, agricultural producers can gain actionable insights, facilitating data-driven decision-making to optimize resource usage and enhance crop yields. The primary objectives of this study encompass enabling automation and precision agriculture to mitigate waste and bolster productivity, while concurrently emphasizing remote monitoring and control capabilities through mobile technologies to augment overall operational efficiency and crop quality. The background underscores the critical importance of integrating IoT technologies into agricultural practices to streamline farm management processes, reduce labour requirements, and increase profitability across all scales of agricultural operations. Through the implementation of IoT-enabled smart farming solutions, this paper endeavors to bridge the divide between advanced technology and practical agricultural needs, offering a cost-effective and user-friendly approach to modernizing farming methodologies.

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Published

2024-04-30

How to Cite

Tan, Y. S. ., Chew , L. W. ., Tan , Y. X. ., & Tan, S. Z. (2024). IoT-based Smart Farming System. International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence, 3(1). https://doi.org/10.54938/ijemdcsai.2024.03.1.270

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Section

Research Article

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