Dual Mode Solar Power for IoT based Smart Farming System

Authors

  • Iskandar Zulkarnaen 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
  • Gwo-Ching Chung Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia
  • Sew-Kin Wong Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia
  • Kah-Yoong Chan Centre for Advanced Devices and Systems, Faculty of Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia

Keywords:

: Solar power, Smart Farming System, IoT

Abstract

The agricultural sector's upheaval is experiencing a momentous surge, bolstered by urbanization and the proliferation of Internet of Things (IoT) technology. The use of modern information and communication technologies has led to increased efficiency in smart farming, resulting in improved productivity and plant quality with minimal human intervention. This paper introduces a smart farming system based on the Internet of Things (IoT) and powered by a dual-mode solar system, fitted with agriculture sensors for data collection from plants, including parameters like soil moisture, temperature, and pH levels. The data is transmitted to the IoT cloud for analysis and display on two IoT platforms, ThingSpeak and mobile Blynk application. A dual-mode solar power integrated in the system, together with an irrigation unit capable of watering the plants automatically or manually, enables seamless switching from solar to wired power in the event of inadequate solar energy. The objective of this initiative is to equip farmers with an affordable smart farming system using renewable energy. This enables them to monitor crop data in real-time and conduct comprehensive analyses to efficiently use water resources. This paper presents a resilient model of the IoT-based smart farming system.

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Published

11.07.2023

How to Cite

Zulkarnaen, I. ., Lee, C.-L. ., Chung, G.-C. ., Wong, S.-K. ., & Chan, K.-Y. . (2023). Dual Mode Solar Power for IoT based Smart Farming System. International Journal of Intelligent Systems and Applications in Engineering, 11(8s), 375–380. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3062

Issue

Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology

Section

Research Article

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