Please use this identifier to cite or link to this item: https://elib.vku.udn.vn/handle/123456789/3190
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dc.contributor.authorLe, Thi Thu Nga-
dc.contributor.authorNguyen, Van Duong Trieu-
dc.contributor.authorDoan, Van Tinh-
dc.date.accessioned2023-10-05T09:11:24Z-
dc.date.available2023-10-05T09:11:24Z-
dc.date.issued2022-08-
dc.identifier.isbn978-3-031-15063-0 (e)-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-15063-0_14-
dc.identifier.urihttp://elib.vku.udn.vn/handle/123456789/3190-
dc.descriptionInternational Conference on Intelligence of Things (ICIT 2022); Lecture Notes on Data Engineering and Communications Technologies, Vol.148; pp: 156-166vi_VN
dc.description.abstractMicroalgae is the lower organism that gets that attention because they not only have specific mechanisms but also grow and develop extremely fast. Microalgae’s current research and applications have created a revolution in agriculture, the food industry, the pharmaceutical industry, new materials, and environmental protection. The rapid development of the microalgae industry in the world is due to many advantages of the organism compared to higher plants such as short life cycle, high yield, high efficiency of use, and high yield. A series of technologies applied to the microalgae treatment process has been completed to help reduce costs and improve biomass quality. This paper presents the application of the Internet of Things (IoT) in microalgae cultivation and builds a Machine Learning (ML) model based on the collected data from the IoT system to predict the biomass of microalgae.vi_VN
dc.language.isoenvi_VN
dc.publisherSpringer Naturevi_VN
dc.subjectMicroalgaevi_VN
dc.subjectCultivationvi_VN
dc.subjectBiomass of microalgaevi_VN
dc.subjectInternet of Thingsvi_VN
dc.subjectArtificial intelligencevi_VN
dc.subjectMachine Learningvi_VN
dc.titleCombining Artificial Intelligence with the Internet of Things in Microalgae Cultivationvi_VN
dc.typeWorking Papervi_VN
Appears in Collections:NĂM 2022

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