INTERNET OF THINGS-BASED AUTOMATIC FEEDING PROTOTYPE FOR ELAEIDOBIUS KAMERUNICUS ENCLOSURE

Abstract

The Internet of Things (IoT) is a fast-evolving technology that has been successfully applied in various sectors, including agriculture and plantations. One of its promising applications is in the field of pollinator management, particularly for Elaeidobius kamerunicus, a beetle species that plays a vital role in the pollination process of oil palm trees. This study aims to design and implement a prototype of an automatic feeding system based on IoT technology, intended to support the maintenance and breeding of these pollinator insects. The system uses an ESP32 microcontroller as the main controller, the RTC DS3231 module for scheduling automated feeding at specific times, and a Telegram Bot as the user interface for remote control and status notifications. The system is designed to operate in two modes: automatic mode, which activates the feeding mechanism at a preset time (08:00 AM), and manual mode, which allows the user to activate feeding via commands sent through Telegram. Testing results show that all hardware and software components-including Wi-Fi connectivity, RTC module, relay, blower, and Telegram integration-function correctly and as intended. This prototype provides a simple, practical, and adaptable technological solution for individual oil palm farmers to manage pollinators without interfering with their daily routines. The system also holds significant potential for future development and broader implementation in precision agriculture