Journal of Power, Energy, and Control

Vol. 2 No. 1 (2025)
Articles

IoT-Enabled Solar-Powered Pest Control for Rice Agriculture: Monitoring and Efficiency of Light-Based Traps

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  • Novita Asma Ilahi,
  • Afrizal Abdi Musyafiq,
  • M. Fakhruriza Pradana,
  • Erna Alimudin,
  • Ilma Fadlilah,
  • Kulaiah Syifaul Husna,
  • Erliza Septia Nagara,
  • Agus Santoso
Novita Asma Ilahi
Politeknik Negeri Cilacap, Indonesia
Afrizal Abdi Musyafiq
Politeknik Negeri Cilacap, Indonesia
M. Fakhruriza Pradana
University of Duisburg-Essen, Germany
Erna Alimudin
Politeknik Negeri Cilacap, Indonesia
Ilma Fadlilah
Politeknik Negeri Cilacap, Indonesia
Kulaiah Syifaul Husna
Politeknik Negeri Cilacap, Indonesia
Erliza Septia Nagara
Institut Bakti Nusantara, Indonesia
Agus Santoso
Politeknik Negeri Cilacap, Indonesia

Published 16-04-2025

Keywords

  • Internet of Things,
  • Pest control,
  • Solar Energy,
  • Agriculture

Copyright (c) 2025 Novita Asma Ilahi, Afrizal Abdi Musyafiq, M. Fakhruriza Pradana, Erna Alimudin, Ilma Fadlilah, Kulaiah Syifaul Husna, Erliza Septia Nagara, Agus Santoso (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
N. A. Ilahi, “IoT-Enabled Solar-Powered Pest Control for Rice Agriculture: Monitoring and Efficiency of Light-Based Traps”, PEC, vol. 2, no. 1, pp. 14–26, Apr. 2025, doi: 10.62777/pec.v2i1.41.

Abstract

Rice is a staple food in Indonesia and globally, but its production is threatened by pests such as the brown planthopper. Conventional pest control methods, including pesticides and traditional techniques, often prove ineffective and have negative environmental impacts. Light traps have been explored as an alternative due to the brown planthopper's phototactic behavior, yet existing designs lack efficiency in capturing pests. This study presents an IoT-based solar-powered pest control system that integrates light as an attractant and an electric trap for effective pest elimination. The system features real-time monitoring of voltage, current, and light intensity using an LCD display, powered by a 35 Wp solar panel and managed through an Arduino Uno microcontroller. Experimental results show that brown planthoppers are most attracted to an LED light with an intensity of 780 lux, operating at 11.5 V and 0.97 A. The system consumes 112.52 Wh, with a full battery charge requiring approximately 6 hours and 7 minutes. These findings highlight the potential of a sustainable, energy-efficient solution for pest control in rice agriculture. 

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