Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application
Faced with the challenges posed by rapid urbanization and climate change, the U-GARDEN project offers an innovative solution for sustainable urban development through the implementation of smart urban gardens. The project utilizes an advanced multi-criteria application that combines real-time enviro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Estfalia
2024-12-01
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| Series: | Romanian Journal of Ecology & Environmental Chemistry |
| Subjects: | |
| Online Access: | http://www.rjeec.ro/Read/258?id=Advanced%20solution%20for%20urban%20gardens%20based%20on%20IoT%20systems,%20prediction%20algorithms%20and%20multi-criteria%20application |
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| _version_ | 1832582637889257472 |
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| author | Andrei Danila Robert Streche Oana Orza Cristina Dobre George Suciu |
| author_facet | Andrei Danila Robert Streche Oana Orza Cristina Dobre George Suciu |
| author_sort | Andrei Danila |
| collection | DOAJ |
| description | Faced with the challenges posed by rapid urbanization and climate change, the U-GARDEN project offers an innovative solution for sustainable urban development through the implementation of smart urban gardens. The project utilizes an advanced multi-criteria application that combines real-time environmental monitoring with Internet of Things (IoT) technologies to optimize the management of green spaces and support healthy plant growth. A key component of this system is the implementation of algorithms to predict the risk of disease outbreaks in cultivated plants, based on the analysis of monitored data such as humidity, temperature, and air quality. The QGIS-based application allows for the identification of optimal locations for urban gardens, considering both socio-demographic and environmental factors, thereby facilitating efficient and sustainable management. Through active community involvement and the use of advanced technological tools, U-GARDEN contributes to improving urban quality of life and creating greener, more resilient cities. This article highlights the project's potential to transform urban spaces into productive and healthy environments through scalable and innovative solutions. |
| format | Article |
| id | doaj-art-469b6485480d4ed38260a26e03f92143 |
| institution | Kabale University |
| issn | 2668-5418 2668-8530 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Estfalia |
| record_format | Article |
| series | Romanian Journal of Ecology & Environmental Chemistry |
| spelling | doaj-art-469b6485480d4ed38260a26e03f921432025-01-29T13:09:09ZengEstfaliaRomanian Journal of Ecology & Environmental Chemistry2668-54182668-85302024-12-016210110810.21698/rjeec.2024.210Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria applicationAndrei Danila0Robert Streche1Oana Orza2Cristina Dobre3George Suciu4BEIA Consult International, RomaniaBEIA Consult International, RomaniaBEIA Consult International, RomaniaBEIA Consult International, RomaniaBEIA Consult International, RomaniaFaced with the challenges posed by rapid urbanization and climate change, the U-GARDEN project offers an innovative solution for sustainable urban development through the implementation of smart urban gardens. The project utilizes an advanced multi-criteria application that combines real-time environmental monitoring with Internet of Things (IoT) technologies to optimize the management of green spaces and support healthy plant growth. A key component of this system is the implementation of algorithms to predict the risk of disease outbreaks in cultivated plants, based on the analysis of monitored data such as humidity, temperature, and air quality. The QGIS-based application allows for the identification of optimal locations for urban gardens, considering both socio-demographic and environmental factors, thereby facilitating efficient and sustainable management. Through active community involvement and the use of advanced technological tools, U-GARDEN contributes to improving urban quality of life and creating greener, more resilient cities. This article highlights the project's potential to transform urban spaces into productive and healthy environments through scalable and innovative solutions.http://www.rjeec.ro/Read/258?id=Advanced%20solution%20for%20urban%20gardens%20based%20on%20IoT%20systems,%20prediction%20algorithms%20and%20multi-criteria%20applicationurban gardeningsustainable developmentiot technologyprediction algorithmsmulti-criteria application |
| spellingShingle | Andrei Danila Robert Streche Oana Orza Cristina Dobre George Suciu Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application Romanian Journal of Ecology & Environmental Chemistry urban gardening sustainable development iot technology prediction algorithms multi-criteria application |
| title | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
| title_full | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
| title_fullStr | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
| title_full_unstemmed | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
| title_short | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
| title_sort | advanced solution for urban gardens based on iot systems prediction algorithms and multi criteria application |
| topic | urban gardening sustainable development iot technology prediction algorithms multi-criteria application |
| url | http://www.rjeec.ro/Read/258?id=Advanced%20solution%20for%20urban%20gardens%20based%20on%20IoT%20systems,%20prediction%20algorithms%20and%20multi-criteria%20application |
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