Development of iot-based vermi-cast composting system/ John Russel P. Ballarbare, Bernie T. Benoza, Patrick P. Dipasupil, Darren Jen V. Dulce, and Ivan A. Impas.--

Bachelor's thesis

College of Industrial Technology.-- Bachelor of engineering technology major in electronics technology: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This study explores the development and implementation of an IoT-based Vermi-
cast composting system designed to enhance the productivity and sustainability of

agricultural practices. The primary objective was to create an automated,
environmentally responsive system that monitors and controls critical parameters
such as temperature, humidity, and moisture levels, thereby improving composting
efficiency. The system was built using the ESP32 platform and integrated with solar
power for sustainable operation. A waterfall development approach was employed
in the design process, with a web interface enabling remote monitoring and
automated environmental control. The system’s performance was evaluated in
compliance with the ISO 25010:2011 standards, focusing on functional suitability,
performance efficiency, usability, reliability, and user satisfaction. Ten farmers
from Barangay North Sinisian, Calaca City, Batangas, tested the system, yielding
an overall satisfaction rating of 4.826. The findings revealed that the IoT-based
system significantly outperformed traditional composting methods in terms of
operational sustainability, composting efficiency, and user convenience. The
system contributes to the United Nations' Sustainable Development Goal (SDG) 12
by promoting resource efficiency and sustainable infrastructure. In conclusion, the
IoT-based Vermi-cast system demonstrates substantial potential for improving
agricultural practices by providing an automated, resource-efficient, and scalable
solution for composting, making it a promising tool for promoting sustainable
agricultural practices.