IoT implementation in systems spraying pheromones pineapple skin for control integrated bee horn coconut palm oil

Irvana Dima Saputra, Shabri Putra Wirman, Neneng Fitria, Diana Putrianti

Abstract

This study presents the design and evaluation of an Internet of Things (IoT)-based automated pheromone spraying system for the control of Oryctes rhinoceros in oil palm plantations. The proposed system integrates a microcontroller with an infrared sensor, a load cell, a real-time clock (RTC), a GSM communication module, and an ultrasonic mist generator to support real-time monitoring and automated pheromone release. Experimental procedures included component validation and field testing conducted over a seven-day period. The results demonstrate that the infrared sensor achieved a detection accuracy of 100% under low-light conditions, while the load cell showed a coefficient of variation of approximately 2%, indicating high measurement precision. The GSM module was capable of transmitting data with delays ranging from 0 to 51 seconds over a communication range of up to 5 km. Field evaluation further revealed that the trap positioned at a height of 2.5 meters yielded the highest capture rate of rhinoceros beetles compared to other configurations. Overall, the findings indicate that the developed system is reliable, energy-efficient, and applicable for sustainable pest management in oil palm plantations.

Keywords

IoT Based Pest Control; Oryctes Rhinoceros; Traps Pheromones; Infrared Sensors;Load Cells;Agriculture Sustainable

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DOI: https://doi.org/10.20961/jphystheor-appl.v10i1.117065

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