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

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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Publication Details

Journal
Journal of Power, Energy, and Control
Published
2025-04-16
DOI
https://doi.org/10.62777/pec.v2i1.41
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

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

Afrizal Abdi Musyafiq, Novita Asma Ilahi, Muhammad Fakhruriza Pradana, Erliza Septia Nagara et al.
1 citations
Journal of Power, Energy, and Control
Smart Agriculture and AI
1.75
article

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

Afrizal Abdi Musyafiq, Novita Asma Ilahi, Muhammad Fakhruriza Pradana, Erliza Septia Nagara, Erna Alimudin, Agus Dwi Santoso, Ilma Fadlilah, Kulaiah Syifaul Husna
article en
1 citations

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.

Journal of Power, Energy, and ControlVol. 2(1)
Institut Bisnis Nusantara (ID), University of Duisburg-Essen (DE)
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.75
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