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Title: IoT-based Smart Farming System
Authors: Yan Sen Tan, Li Wei Chew , Yi Xuen Tan , Sean Zhuang Tan
Journal: International journal of emerging multidisciplinaries. Computer science and artificial intelligence
Year: 2024
Volume: 3
Issue: 1
Language: en
DOI: 10.54938/ijemdcsai.2024.03.1.270
Keywords: agricultural technologyInternet of ThingsSmart FarmingIoT
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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