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Optimization of bokashi composting process using effective microorganisms-1 in smart composting bin


Citation

Pei, Sze Lew and Nik Ibrahim, Nik Nor Liyana and Kamarudin, Suryani and M Thamrin, Norashikin and Misnan, Mohamad Farid (2021) Optimization of bokashi composting process using effective microorganisms-1 in smart composting bin. Sensors, 21 (8). art. no. 2847. pp. 1-15. ISSN 1424-8220

Abstract

Malaysians generate 15,000 tons of food waste per day and dispose of it in the landfill, contributing to greenhouse gas emissions. As a solution for the stated problem, this research aims to produce an excellent quality bokashi compost from household organic waste using a smart composting bin. The bokashi composting method is conducted, whereby banana peels are composted with three types of bokashi brans prepared using 12, 22, and 32 mL of EM-1 mother cultured. During the 14 days composting process, the smart composting bin collected the temperature, air humidity, and moisture content produced by the bokashi-composting process. With the ATmega328 microcontroller, these data were uploaded and synchronized to Google Sheet via WIFI. After the bokashi-composting process was completed, three of each bokashi compost and a control sample were buried in separate black soil for three weeks to determine each compost’s effectiveness. NPK values and the C/N ratio were analyzed on the soil compost. From the research, 12 mL of EM-1 shows the most effective ratio to the bokashi composting, as it resulted in a faster decomposition rate and has an optimum C/N ratio. Bokashi composting can help to reduce household food wastes. An optimum amount of the EM-1 used during the bokashi-composting process will produce good quality soil without contributing to environmental issues.


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Official URL or Download Paper: https://www.mdpi.com/1424-8220/21/8/2847

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/s21082847
Publisher: MDPI
Keywords: Bokashi composting; Smart composting bin; WIFI; IoT
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 07 Feb 2023 03:41
Last Modified: 07 Feb 2023 03:41
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/s21082847
URI: http://psasir.upm.edu.my/id/eprint/94456
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