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.--
- xii, 112pages: 29cm.
Bachelor's thesis
College of Industrial Technology.--
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.
Sustainability Environmental control Web interface