Automation of production of raw mokusaku using Raspberry Pi

Authors

• John Carlo V. Puno
• Janine Joyce C. Catapia, Technological University of the Philippines
• Martin Christoper B. Chua, Technological University of the Philippines
• Pamela Jane A. Cordero, Technological University of the Philippines
• Angela Faye A. Naguit, Technological University of the Philippines
• Jona May L. Ramirez, Technological University of the Philippines
• Hannah Ruth M. Valino, Technological University of the Philippines
• Nilo M. Arago, Technological University of the Philippines
• Aaron U. Aquino, Technological University of the Philippines
• TImothy M. Amado, Technological University of the Philippines

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

Publication Date

2019

Abstract

Mokusaku, a type of organic fertilizer extracted from the condensed smoke produced by burning of woods, takes 3-6 months of production. In this paper, the proponents will discuss their project prototype. This prototype aims to lessen the time of production and increase the quantity of the product by introducing Raspberry Pi for automation. Traditionally, producers need to pour water on bamboo where the smoke goes through from time to time for condensation to occur. They then, need to wait for 3-6 months to be able to use the Mokusaku which was extracted from the condensate that was separated into three layers due to sedimentation. The whole traditional process makes it tedious for the producers. With this prototype, major parts will be programmed. The proponents made a cooling system that will automate the condensation part. The Mokusaku, which is the raw condensate, will then undergo an automated centrifugation system. This will result to a faster and more efficient production as well as better yield.

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Recommended Citation

Puno, J. V., Catapia, J. C., Chua, M. B., Cordero, P. A., Naguit, A. A., Ramirez, J. L., Valino, H. M., Arago, N. M., Aquino, A. U., & Amado, T. M. (2019). Automation of production of raw mokusaku using Raspberry Pi. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/15109

Disciplines

Electrical and Computer Engineering

Keywords

Organic fertilizers; Condensation; Centrifugation

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