TY  - BOOK
AU  - Torres, Frencys Ann A., author.
AU  - Dumandan, Tyron James A., author.
AU  - Banogbanog, Judith O., adviser.
AU  - Bartolome, Gee Jay C., critic.
TI  - MicroVeB: Microcontrolled Vermicomposting Bed
AV  - UM TJ 223.P76 T67 2018
PY  - 2018///
CY  - Rosario, Cavite
PB  - Cavite State University-CCAT Campus
KW  - Microcontroller vermicomposting bed
KW  - Soil moisture
KW  - Automatic vermi-composting
KW  - Vermicomposting
KW  - Vermiculture
KW  - Soil temperature
KW  - Environmental conditions
N1  - Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018; Includes bibliographical references and appendices
N2  - TORRES, FRENCYS ANN A. & DUMANDAN, TYRONE JAMES A. MicroVeB: Microcontrolled Vermicomposting Bed. Design Project. Department of Engineering. Cavite State University - Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Ms. Judith O. Banogbanog. Technical critic: Engr. Gee Jay C. Bartolome.

The study was conducted from August 2017 to April 2018 to develop a microcontrolled vermicomposting bed that can monitor and modify the environmental condition for vermicomposting and vermiculture. Specifically, the study aimed to 1.) design a microcontroller based vermicomposting system with monitoring and control for soil moisture content, soil temperature and methane emission; 2.) construct the project using an Arduino Mega 2560 microcontroller, low-cost moisture sensors, temperature sensors, and methane sensor, equipped with a control for irrigation; 3.) evaluate the performance of MicroVeB in actual vermicomposting and by comparing the actual measurements obtained by the system and the measurements obtained using digital thermometer, soil moisture meter and methane meter; and 4.) conduct cost analysis of the project. 

Soil moisture, soil temperature and the methane emissions were evaluated to determine the performance of the MicroVeB in controlling and monitoring the environmental condition for the vermicompost and earthworms in the bed. 

The results of the statistical analysis revealed that MicroVeB can monitor accurate data when compared to existing digital instruments and manipulate environmental conditions. It can provide an effective automated system model for vermiculture and can potentially improve vermicomposting using low-cost sensors and components
ER  -