Artificial Intelligence-Powered IoT-Based Irrigation System for Precision Farming

Authors

  • Hen-Rin Leao Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia
  • Chu-Liang Lee Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia
  • Gregory Soon How Thien Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia
  • It-Ee Lee Centre for Wireless Technology, Faculty of Engineering, Multimedia University, 63100 Cyberjaya, Selangor, Malaysia
  • Gwo-Chin Chung Centre for Wireless Technology, Faculty of Engineering, Multimedia University, 63100 Cyberjaya, Selangor, Malaysia
  • Wai-Leong Pang School of Engineering, Taylor’s University, 47500 Subang Jaya, Selangor, Malaysia
  • Zi-Neng Ng School of Electrical Engineering and Artificial Intelligence, Xiamen University Malaysia, Bandar Sunsuria, 43900, Sepang, Selangor, Malaysia
  • Kar-Ban Tan Department of Chemistry, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
  • Kah-Yoong Chan Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia

Keywords:

Smart irrigation system, Internet of Things, smart farming, sensor technology

Abstract

Agriculture irrigation is an essential agricultural practice that ensures crops' healthy growth. Nonetheless, irrigation is labor-intensive and difficult to manage, particularly in large-scale farming operations. Smart irrigation systems are promising solution to the agricultural sector's challenges. These systems use sensors and other Internet of Things (IoT) technologies to monitor and control irrigation without much human intervention. Hence, several benefits are achievable, including lower labor costs, improved water efficiency, and increased crop yields. This study proposed a smart irrigation system using sensors to detect soil moisture levels and irrigate crops based on the detected moisture level. The proposed system also utilized a cloud-based platform to collect and store sensor data, which monitored the irrigation process and identified potential farming concerns. Besides, the system optimized the irrigation schedule to retain the soil moisture level from 80 to 90%. Therefore, the proposed smart irrigation system is a cost-effective and scalable solution that can improve irrigation efficiency in the agricultural sector.

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Published

24.03.2024

How to Cite

Leao, H.-R. ., Lee, C.-L. ., Thien, G. S. H. ., Lee, I.-E. ., Chung, G.-C. ., Pang, W.-L. ., Ng, Z.-N. ., Tan, K.-B. ., & Chan, K.-Y. . (2024). Artificial Intelligence-Powered IoT-Based Irrigation System for Precision Farming. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 329–335. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5070

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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