Characteristics of Smart Farms for Architectural Planning and Design
In the 21st century, humanity is facing unprecedented climate and food crises caused by population growth, urbanization, environmental pollution, and carbon emissions. As a response to the climate and food crisis, the following concept has emerged: smart urban agriculture that can reduce carbon emis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/13/1/93 |
| _version_ | 1797445059185999872 |
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| author | Donghwa Shon Eunseok Lee Yejin Lee Jieun Lee Nahyang Byun |
| author_facet | Donghwa Shon Eunseok Lee Yejin Lee Jieun Lee Nahyang Byun |
| author_sort | Donghwa Shon |
| collection | DOAJ |
| description | In the 21st century, humanity is facing unprecedented climate and food crises caused by population growth, urbanization, environmental pollution, and carbon emissions. As a response to the climate and food crisis, the following concept has emerged: smart urban agriculture that can reduce carbon emissions from buildings and achieve self-sufficiency in food. Various architectural designs that include smart farms are being explored worldwide. Nevertheless, the concept does not seem to have gained sufficient popular traction. This study attempted to materialize the concept by presenting types and characteristics from an architectural planning and design perspective by examining cases of smart farm constructions worldwide. After collecting 171 smart farm cases from around the world and building a database in terms of city, architecture, environment, and crops, the types were classified through SOM analysis, an artificial neural network-based cluster analysis methodology. As a result of the analysis, smart farm types were classified into seven types, and the characteristics of architectural planning and design were extracted for each type. It is meaningful that a specific form was presented so that planning and design can be easily accessed according to the situation placed through the type of smart farm. |
| first_indexed | 2024-03-09T13:21:16Z |
| format | Article |
| id | doaj.art-4d5e4976e9d64facac96f3b344ccb951 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-09T13:21:16Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-4d5e4976e9d64facac96f3b344ccb9512023-11-30T21:29:47ZengMDPI AGBuildings2075-53092022-12-011319310.3390/buildings13010093Characteristics of Smart Farms for Architectural Planning and DesignDonghwa Shon0Eunseok Lee1Yejin Lee2Jieun Lee3Nahyang Byun4Department of Architecture, Chungbuk National University, Cheongju 28644, Republic of KoreaArchitecture & Urban Research Institute, Sejong-si 30103, Republic of KoreaDepartment of Architecture, Chungbuk National University, Cheongju 28644, Republic of KoreaDepartment of Architecture, Chungbuk National University, Cheongju 28644, Republic of KoreaDepartment of Architecture, Chungbuk National University, Cheongju 28644, Republic of KoreaIn the 21st century, humanity is facing unprecedented climate and food crises caused by population growth, urbanization, environmental pollution, and carbon emissions. As a response to the climate and food crisis, the following concept has emerged: smart urban agriculture that can reduce carbon emissions from buildings and achieve self-sufficiency in food. Various architectural designs that include smart farms are being explored worldwide. Nevertheless, the concept does not seem to have gained sufficient popular traction. This study attempted to materialize the concept by presenting types and characteristics from an architectural planning and design perspective by examining cases of smart farm constructions worldwide. After collecting 171 smart farm cases from around the world and building a database in terms of city, architecture, environment, and crops, the types were classified through SOM analysis, an artificial neural network-based cluster analysis methodology. As a result of the analysis, smart farm types were classified into seven types, and the characteristics of architectural planning and design were extracted for each type. It is meaningful that a specific form was presented so that planning and design can be easily accessed according to the situation placed through the type of smart farm.https://www.mdpi.com/2075-5309/13/1/93urban agriculturesmart farmarchitectural planningarchitectural designcarbon neutralityself-organizing map |
| spellingShingle | Donghwa Shon Eunseok Lee Yejin Lee Jieun Lee Nahyang Byun Characteristics of Smart Farms for Architectural Planning and Design Buildings urban agriculture smart farm architectural planning architectural design carbon neutrality self-organizing map |
| title | Characteristics of Smart Farms for Architectural Planning and Design |
| title_full | Characteristics of Smart Farms for Architectural Planning and Design |
| title_fullStr | Characteristics of Smart Farms for Architectural Planning and Design |
| title_full_unstemmed | Characteristics of Smart Farms for Architectural Planning and Design |
| title_short | Characteristics of Smart Farms for Architectural Planning and Design |
| title_sort | characteristics of smart farms for architectural planning and design |
| topic | urban agriculture smart farm architectural planning architectural design carbon neutrality self-organizing map |
| url | https://www.mdpi.com/2075-5309/13/1/93 |
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