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Integrated plant growth measurement system based on intelligent circumstances recognition

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dc.contributor.authorCho, M.-T.-
dc.contributor.authorJoo, H.-J.-
dc.contributor.authorLee, E.-S.-
dc.date.accessioned2024-09-26T09:03:19Z-
dc.date.available2024-09-26T09:03:19Z-
dc.date.issued2016-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23985-
dc.description.abstractIn this paper, based on core technologies such as overcoming a place’s limitations, light that can substitute for the sunlight, automation, nutrient supply system and temperature, and intelligent situation recognition for solar power generation, geothermal HVAC (heating, ventilating, and air conditioning), a plant growth analysis system for vegetation factories was designed. The system is likely to improve the freshness of agricultural products through order and planned productions, to create new markets through the convergence of the IT and BT industries, and to promote convenience in farming and comfort in workspaces through automatic control, robot development, etc. In addition, the system is expected to offer opportunities for urban residents to experience and learn the whole process of a plant’s growth; to provide a leisurely life, such as a downtown oasis, to those who are tired of the dreary city life; to prevent environmental pollution through the effective use of recycled resources; and to produce and stably supply diverse agricultural products all year round, regardless of the weather. © Springer Science+Business Media Singapore 2016.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleIntegrated plant growth measurement system based on intelligent circumstances recognition-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-981-10-0068-3_23-
dc.identifier.scopusid2-s2.0-84958068768-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.368, pp 179 - 184-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume368-
dc.citation.startPage179-
dc.citation.endPage184-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorIntegrated plant growth management-
dc.subject.keywordAuthorIntelligent situation recognition-
dc.subject.keywordAuthorPlant growth measurement-
dc.subject.keywordAuthorVegetation factory-
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