Energy Harvesting from Plants Using Plant-Based Cells

Citation

Rahman, Sk Rakibur and Ngu, Eng Eng and Chung, Gwo Chin and Pang, Wai Leong and Tan, Kar Ban and kah, Yoong Chan and Singh, Ajay Kumar (2025) Energy Harvesting from Plants Using Plant-Based Cells. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

The use of fossil fuels adversely affects the environment, necessitating a transition to renewable energy sources. Plant-based energy harvesting presents a unique and sustainable approach with potential applications in precision agriculture, environmental monitoring, and Internet of Things (IoT) monitoring systems. In the present study, the electrode configuration for the Plant-based Cell (PBC) method using Aloe vera as an energy source was investigated to elucidate the optimal arrangement. In the initial phase of the investigation, the inter-electrode distance was examined by adjusting the spacing from 1 cm to 6 cm, with 1 cm spacing producing the maximum voltage and, thus, the optimal power output. In the second phase of the study, a 1 cm distance between electrodes permitted modifications in electrode pair combinations (Cu-Cu, Zn-Zn, and Zn-Cu). Zn-Cu exhibited the optimal performance. Finally, the diurnal variations that imply the natural changes or fluctuations in temperature, light intensity, and humidity that occur throughout a day were assessed to evaluate the environmental impact. These aspects of the investigation will assess the effectiveness of plant-derived energy as a sustainable energy source for precision agriculture, smart irrigation, and environmental monitoring applications. This research seeks to elucidate the development of resilient, nature-based smart agricultural ecosystems, highlighting the role of plants in advancing sustainable energy technology

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Plant-based energy harvesting
Subjects: S Agriculture > SB Plant culture
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 18 Mar 2026 07:25
Last Modified: 18 Mar 2026 07:25
URII: http://shdl.mmu.edu.my/id/eprint/15558

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