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Smart microalgae farming with internet-of-things for sustainable agriculture
Abstract
Agriculture farms such as crop, aquaculture and livestock have begun the implementation of Internet of Things (IoT) and artificial intelligence (AI) technology in improving their productivity and product quality. However, microalgae farming which requires precise monitoring, controlling and predicting the growth of microalgae biomass has yet to incorporate with IoT and AI technology, as it is still in its infancy phase. Particularly, the cultivation stage of microalgae involves many essential parameters (i.e. biomass concentration, pH, light intensity, temperature and tank level) which require precise monitoring as these parameters are important to ensure an effective biomass productivity in the microalgae farming. Besides, the conventional practices in the current process equipment are still powered by electricity, thus further development by integrating IoT into these processes can ease the production process. Further to that, many researchers has studied the machine learning approach for the identification and classification of microalgae. However, there are still limited studies reported on applying machine learning for the application of microalgae industry such as optimising microalgae cultivation for higher biomass productivity. Therefore, the implementation of IoT and AI in microalgae farming can contribute to the development of the global microalgae industry. The purpose of this current review paper focuses on the overview microalgae biomass production process along with the implementation of IoT toward the future of smart farming. To bridge the gap between the conventional and microalgae smart farming, this paper also highlights the insights on the implementation phases of microalgae smart farming starting from the infant stage that involves the installation and programming of IoT hardware. Then, it is followed by the application of machine learning to predict and auto-optimise the microalgae smart farming process. Furthermore, the process setup and detailed overview of microalgae farming with the integration of IoT have been discussed critically. This review paper would provide a new vision of microalgae farming for microalgae researchers and bio-processing industries into the digitalisation industrial era.
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In the citing paper
“Wireless sensors integrated into IoT platforms enable automatic data transmission to cloud systems, where the data is processed to identify trends and detect potential problems in cultivation [246].”
From Multi-Sensing Monitoring of the Microalgae Biomass Cultivation Systems for Biofuels and Added Value Products Synthesis—Challenges and Opportunities (2025) · cites this paper as [246]
In the citing paper
“In terms of environmental sustainability, ADT has the potential to transform how smart algal growth management is modeled from a physical perspective [12].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [12]
In the citing paper
“Correspondingly, ADT has also progressed and expanded in tandem with AI, IoT, and BD in the ACB sector to sustain the environment [1,11 -14].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [12]
In the citing paper
“According to [12], this is frequently the case with algal information modelling software that is incompatible with IoT integration.”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [12]
In the citing paper
“An integrated, AI-driven cultivation framework offers the potential to improve biomass yield by 30–50%, reduce nutrient and energy consumption, and enhance process control accuracy for large-scale production [15,16,17].”
From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [16]
In the citing paper
“An integrated, AI-driven cultivation framework offers the potential to improve biomass yield by 30–50%, reduce nutrient and energy consumption, and enhance process control accuracy for large-scale production [15,16,17].”
From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [16]
In the citing paper
“An integrated, AI-driven cultivation framework offers the potential to improve biomass yield by 30–50%, reduce nutrient and energy consumption, and enhance process control accuracy for large-scale production [15,16,17].”
From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [16]
Citations
Cites
1 retracted
Tan, J. S., Lee, S. Y., Chew, K. W., Lam, M. K., Lim, J. W., Ho, S.-H., & Show, P. L. (2020) · Bioengineered · doi:10.1080/21655979.2020.1711626 · Cited by 524
Self-citationRetractedMachine Learning in Agriculture: A Review
Liakos, K., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018) · Sensors · doi:10.3390/s18082674 · Cited by 3,441
A review on the practice of big data analysis in agriculture
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.09.037 · Cited by 1,193
Harvesting techniques applied to microalgae: A review
Barros, A. I., Gonçalves, A. L., Simões, M., & Pires, J. C. M. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.09.037 · Cited by 1,015
A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming
Farooq, M. S., Riaz, S., Abid, A., Abid, K., & Naeem, M. A. (2019) · IEEE Access · doi:10.1109/access.2019.2949703 · Cited by 941
Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P. D., Liopa-Tsakalidi, A., BAROUCHAS, P. E., Salachas, G., Karagiannidis, G. K., Wan, S., & Goudos, S. K. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100187 · Cited by 926
Microalgae: A potential alternative to health supplementation for humans
Koyande, A. K., Chew, K. W., Rambabu, K., Tao, Y., Chu, D.-T., & Show, P.-L. (2019) · Food Science and Human Wellness · doi:10.1016/j.fshw.2019.03.001 · Cited by 908
Self-citationThe internet of things: mapping the value beyond the hype
Manyika, J., Chui, M., Bisson, P., Woetzel, J. R., Dobbs, R., Bughin, J., & Aharon, D. (2015) · Cited by 788
Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas
Ahmed, N., De, D., & Hussain, M. I. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2879579 · Cited by 634
Microalgae — biotechnology and microbiology
Turner, M. (1994) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/0022-0981(94)90095-7 · Cited by 580
Research works printed but not linked: 4
- Acién, 2014, Chapter 14 - economics of microalgae biomass production, 313
- Chavan, 2018, Design and implementation of IoT based real time monitoring system for aquaculture using raspberry pi, Int. J. Recent Innov. Trends Comput. Commun., 6, 159
- Milić, 2021, Computational evaluation of microalgae biomass conversion to biodiesel, Biomass Convers. Biorefin, 1
- Vineela, 2018, IoT based agriculture monitoring and smart irrigation system using raspberry Pi, Int. Res. J. Eng. Technol, 5, 1417
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Self-citationOruganti, R. K., Biji, A. P., Lanuyanger, T., Show, P. L., Sriariyanun, M., Upadhyayula, V. K. K., Gadhamshetty, V., & Bhattacharyya, D. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162797 · Cited by 211
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Wu, W., Ling, T., Chang, H., Zhang, C., Tan, X., Liao, Q., Zhong, N., Zhang, X., Zhang, Y., & Ho, S. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112969 · Cited by 112
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Self-citationCarbon capture, storage, and usage with microalgae: a review
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El-Sheekh, M. M., El-Kassas, H. Y., & Ali, S. S. (2025) · Microbial Cell Factories · doi:10.1186/s12934-024-02638-0 · Cited by 86
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Gupta, G., & Pal, S. K. (2025) · Discover Agriculture · doi:10.1007/s44279-025-00220-9 · Cited by 84
Kong, W., Kong, J., Feng, S., Yang, T., Xu, L., Shen, B., Bi, Y., & Lyu, H. (2024) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-023-02409-w · Cited by 92
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Microalgae identification: Future of image processing and digital algorithm
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Self-citationWu, Y., Shan, L., Zhao, W., & Lu, X. (2025) · Marine Drugs · doi:10.3390/md23050184 · Cited by 59
Jiang, M., Zheng, J., Tang, Y. D., Liu, H., Yao, Y., Zhou, J., Lin, W. J., Ma, Y., Liu, J., & Zhou, J. (2025) · Nature Communications · doi:10.1038/s41467-025-58415-z · Cited by 62
Dębowski, M., Świca, I., Kazimierowicz, J., & Zieliński, M. (2022) · Energies · doi:10.3390/en16010081 · Cited by 55
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Self-citationSharma, R., Solanki, P., Chaudhary, M., Gupta, N., & Kaur, P. (2024) · Biotechnology for Sustainable Materials · doi:10.1186/s44316-024-00010-1 · Cited by 51
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Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37
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Self-citationNguyen, D. K., Nguyen, H. Q., Dang, H. T. T., Nguyen, V. Q., & Nguyen, L. V. (2022) · HardwareX · doi:10.1016/j.ohx.2022.e00353 · Cited by 30
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Zhu, C., Hu, C. Y., Liu, J., Chi, Z., & Jiao, N. (2024) · Trends in biotechnology · doi:10.1016/j.tibtech.2024.06.015 · Cited by 18
Haval, A. M., & Rahman, F. (2024) · BIO Web of Conferences · doi:10.1051/bioconf/20248205021 · Cited by 17
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Bhat, O. A., Unpaprom, Y., & Ramaraj, R. (2023) · Molecular Biotechnology · doi:10.1007/s12033-023-00842-8 · Cited by 14
RetractedChai, A. B. Z., Lau, B. T., Ginjom, I. R. H., Tee, M. K. T., Show, P. L., & Palombo, E. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110163 · Cited by 10
Self-citationMicroalgae as an Eco-Friendly and Functional Ingredient for Sustainable Aquafeed
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Galang, M. G., Chen, J., Cobb, K., Zarra, T., & Ruan, R. R. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.125275 · Cited by 10
Carvalho, J. D. S., Artifon, W., da Silva, A., de Andrade, C. J., & de Olíveira, D. (2025) · Algal Research · doi:10.1016/j.algal.2025.104216 · Cited by 11
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Lim, H. R., Khoo, K. S., & Show, P.-L. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1546801 · Cited by 9
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Venkatrayalu, G., Choudhary, S., & Poluri, K. M. (2026) · Springer eBooks · doi:10.1007/978-981-95-5378-5_9 · Cited by 7
Wong, W. K., Teoh, Y. J., Juwono, F. H., Ling, J., & Lau, S. Y. (2024) · IEEE Sensors Letters · doi:10.1109/lsens.2024.3484432 · Cited by 6
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Metadata
- Authors
- Lim, H. R., Khoo, K. S., Chia, W. Y., Chew, K. W., Ho, S.-H., & Show, P. L.
- Affiliations
- University of Nottingham (GB)
- UCSI University (MY)
- University of Nottingham Malaysia Campus (MY)
- Xiamen University (CN)
- Harbin Institute of Technology (CN)
- Corresponding author
- Khoo, Kuan Shiong
- Ho, Shih-Hsin
- Show, Pau Loke
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2022-07
- Volume
- 57
- Pages
- 107931
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W4213272685
- Cited by
- 155
- References
- 90
- Citations by year
- 2026: 33 · 2025: 50 · 2024: 26 · 2023: 30 · 2022: 16
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biotechnology Advances (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Kementerian Pendidikan Malaysia
- Kementerian Pengajian Tinggi Malaysia
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Environmental Science › Water Science and Technology › Water Quality Monitoring Technologies
- Keywords
- Internet of Things, smart agriculture, microalgae cultivation, machine learning, process monitoring, sustainable agriculture
- MeSH terms
- Internet of Things, Agriculture, Artificial Intelligence, Humans, Internet, Microalgae
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