TY - GEN
T1 - Smart incubator for small-scale algae cultivation with Internet-of-Things
AU - Chai, Albe Bing Zhe
AU - Lau, Bee Theng
AU - Tee, Mark Kit Tsun
AU - Ginjom, Irine Runnie Henry
AU - Philimon, Sheena Punai
AU - Show, Pau Loke
AU - Palombo, Enzo
AU - Chua, Caslon
AU - Bong, Paul Cornelius
AU - Lee, Chan Kok
N1 - Publisher Copyright:
© 2024 SPIE.
PY - 2024
Y1 - 2024
N2 - Microalgae cultivation is a promising next-generation food production industry to produce sustainable and nutrient-rich food sources. However, the existing cultivation techniques are mostly designed for large-scale industrial applications, with minimal automation to monitor and control growth conditions for small-scale production. There is a need to explore the feasibility of implementing a small-scale indoor and home-based cultivation system. Therefore, this paper proposes the smart incubator, a novel automated solution which integrates a variety of sensors, actuators, controllers, and cloud communication for effortless cultivation of Spirulina. It utilises the Internet of Things (IoT) concept to monitor and control the vital factors affecting Spirulina's growth, such as growth medium, salinity, temperature, light intensity, pH, aeration, and agitation. Additionally, the proposed system is designed with several key functionalities including automated growth monitoring and controlling, auto-harvesting, and sustainable medium recycling. A comparative analysis of the growth rate of Spirulina cultivated with the proposed system and manual cultivation method highlighted that it is a potential solution that optimises Spirulina's growth. However, it should be brought into further investigation and refinements to increase its feasibility as a commercial product. The discovery of machine learning integration with the system is also vital to make it more flexible in keeping optimum growth conditions.
AB - Microalgae cultivation is a promising next-generation food production industry to produce sustainable and nutrient-rich food sources. However, the existing cultivation techniques are mostly designed for large-scale industrial applications, with minimal automation to monitor and control growth conditions for small-scale production. There is a need to explore the feasibility of implementing a small-scale indoor and home-based cultivation system. Therefore, this paper proposes the smart incubator, a novel automated solution which integrates a variety of sensors, actuators, controllers, and cloud communication for effortless cultivation of Spirulina. It utilises the Internet of Things (IoT) concept to monitor and control the vital factors affecting Spirulina's growth, such as growth medium, salinity, temperature, light intensity, pH, aeration, and agitation. Additionally, the proposed system is designed with several key functionalities including automated growth monitoring and controlling, auto-harvesting, and sustainable medium recycling. A comparative analysis of the growth rate of Spirulina cultivated with the proposed system and manual cultivation method highlighted that it is a potential solution that optimises Spirulina's growth. However, it should be brought into further investigation and refinements to increase its feasibility as a commercial product. The discovery of machine learning integration with the system is also vital to make it more flexible in keeping optimum growth conditions.
KW - Artificial intelligence
KW - Automated monitoring
KW - Intelligent system
KW - Internet of Things
KW - Microalgae cultivation
UR - http://www.scopus.com/inward/record.url?scp=85201937609&partnerID=8YFLogxK
U2 - 10.1117/12.3034987
DO - 10.1117/12.3034987
M3 - Conference contribution
AN - SCOPUS:85201937609
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - 4th International Conference on Internet of Things and Smart City, IoTSC 2024
A2 - Falcone, Francisco
A2 - Yao, Xinwei
PB - SPIE
T2 - 4th International Conference on Internet of Things and Smart City, IoTSC 2024
Y2 - 22 March 2024 through 24 March 2024
ER -