A vision-based closed spirulina (a. platensis) cultivation system with growth monitoring using artificial neural network

Authors

Aaron U. Aquino, Technological University of the Philippines
Ma. Veronica L. Bautista, Technological University of the Philippines
Camille H. Diaz, Technological University of the Philippines
Ira C. Valenzuela, Technological University of the Philippines
Elmer P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

Publication Date

3-12-2019

Abstract

This paper presents the development of a closed algal cultivation system that automatically monitors and controls significant bio-environmental parameters to optimize the growth of the microalgae Spirulina platensis, which is normally used as fish feeds. The system is composed of three major parts: the detection system, which monitors the pH level, temperature and dissolved oxygen (DO) level; the correction system, which maintains the important parameters for optimum growth of the culture, 29 to 32 degree Celsius for temperature and 8.5 to 11 for pH; and the vision system which measures the cell density of the culture using an artificial neural network (ANN) model. The ANN model measures the cell density of the culture based on the RGB and lux values from the vision. The system then gives out a notification when the culture has reached its mature phase and is ready for harvesting. Based on the results of the experimental setups performed, the culture system was able to reach its matured phase on its 5th day for controlled and on the 7th day for uncontrolled. Furthermore, based on the regression analysis performed, the growth coefficient for the controlled set-up is 0.0519 and 0.0372 for the uncontrolled setup; the growth of Spirulina platensis has increased by 39.52% when the culture parameters are controlled. © 2018 IEEE.

html

Digitial Object Identifier (DOI)

10.1109/HNICEM.2018.8666367

Recommended Citation

Aquino, A. U., Bautista, M. L., Diaz, C. H., Valenzuela, I. C., & Dadios, E. P. (2019). A vision-based closed spirulina (a. platensis) cultivation system with growth monitoring using artificial neural network. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018 https://doi.org/10.1109/HNICEM.2018.8666367

Disciplines

Manufacturing

Keywords

Spirulina; Microalgae; Neural networks (Computer science)

Upload File

wf_no