Academic Journal
Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application
العنوان: | Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application |
---|---|
المؤلفون: | Andrei Danila, Robert Streche, Oana Orza, Cristina Dobre, George Suciu |
المصدر: | Romanian Journal of Ecology & Environmental Chemistry, Vol 6, Iss 2, Pp 101-108 (2024) |
بيانات النشر: | Estfalia, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Chemistry LCC:Ecology |
مصطلحات موضوعية: | urban gardening, sustainable development, iot technology, prediction algorithms, multi-criteria application, Chemistry, QD1-999, Ecology, QH540-549.5 |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2668-5418 2668-8530 |
Relation: | http://www.rjeec.ro/Read/258?id=Advanced%20solution%20for%20urban%20gardens%20based%20on%20IoT%20systems,%20prediction%20algorithms%20and%20multi-criteria%20application; https://doaj.org/toc/2668-5418; https://doaj.org/toc/2668-8530 |
DOI: | 10.21698/rjeec.2024.210 |
URL الوصول: | https://doaj.org/article/469b6485480d4ed38260a26e03f92143 |
رقم الانضمام: | edsdoj.469b6485480d4ed38260a26e03f92143 |
قاعدة البيانات: | Directory of Open Access Journals |
ResultId |
1 |
---|---|
Header |
edsdoj Directory of Open Access Journals edsdoj.469b6485480d4ed38260a26e03f92143 1080 3 Academic Journal academicJournal 1080.36608886719 |
PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.469b6485480d4ed38260a26e03f92143&custid=s6537998&authtype=sso |
FullText |
Array
(
[Availability] => 0
)
Array ( [0] => Array ( [Url] => https://doaj.org/article/469b6485480d4ed38260a26e03f92143 [Name] => EDS - DOAJ [Category] => fullText [Text] => View record in DOAJ [MouseOverText] => View record in DOAJ ) ) |
Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Andrei+Danila%22">Andrei Danila</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+Streche%22">Robert Streche</searchLink><br /><searchLink fieldCode="AR" term="%22Oana+Orza%22">Oana Orza</searchLink><br /><searchLink fieldCode="AR" term="%22Cristina+Dobre%22">Cristina Dobre</searchLink><br /><searchLink fieldCode="AR" term="%22George+Suciu%22">George Suciu</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => Romanian Journal of Ecology & Environmental Chemistry, Vol 6, Iss 2, Pp 101-108 (2024) ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Estfalia, 2024. ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2024 ) Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => LCC:Chemistry<br />LCC:Ecology ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22urban+gardening%22">urban gardening</searchLink><br /><searchLink fieldCode="DE" term="%22sustainable+development%22">sustainable development</searchLink><br /><searchLink fieldCode="DE" term="%22iot+technology%22">iot technology</searchLink><br /><searchLink fieldCode="DE" term="%22prediction+algorithms%22">prediction algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22multi-criteria+application%22">multi-criteria application</searchLink><br /><searchLink fieldCode="DE" term="%22Chemistry%22">Chemistry</searchLink><br /><searchLink fieldCode="DE" term="%22QD1-999%22">QD1-999</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology%22">Ecology</searchLink><br /><searchLink fieldCode="DE" term="%22QH540-549%2E5%22">QH540-549.5</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => 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. ) Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article ) Array ( [Name] => Format [Label] => File Description [Group] => SrcInfo [Data] => electronic resource ) Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English ) Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 2668-5418<br />2668-8530 ) Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => http://www.rjeec.ro/Read/258?id=Advanced%20solution%20for%20urban%20gardens%20based%20on%20IoT%20systems,%20prediction%20algorithms%20and%20multi-criteria%20application; https://doaj.org/toc/2668-5418; https://doaj.org/toc/2668-8530 ) Array ( [Name] => DOI [Label] => DOI [Group] => ID [Data] => 10.21698/rjeec.2024.210 ) Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://doaj.org/article/469b6485480d4ed38260a26e03f92143" linkWindow="_blank">https://doaj.org/article/469b6485480d4ed38260a26e03f92143</link> ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsdoj.469b6485480d4ed38260a26e03f92143 ) |
RecordInfo |
Array
(
[BibEntity] => Array
(
[Identifiers] => Array
(
[0] => Array
(
[Type] => doi
[Value] => 10.21698/rjeec.2024.210
)
)
[Languages] => Array
(
[0] => Array
(
[Text] => English
)
)
[PhysicalDescription] => Array
(
[Pagination] => Array
(
[PageCount] => 8
[StartPage] => 101
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => urban gardening
[Type] => general
)
[1] => Array
(
[SubjectFull] => sustainable development
[Type] => general
)
[2] => Array
(
[SubjectFull] => iot technology
[Type] => general
)
[3] => Array
(
[SubjectFull] => prediction algorithms
[Type] => general
)
[4] => Array
(
[SubjectFull] => multi-criteria application
[Type] => general
)
[5] => Array
(
[SubjectFull] => Chemistry
[Type] => general
)
[6] => Array
(
[SubjectFull] => QD1-999
[Type] => general
)
[7] => Array
(
[SubjectFull] => Ecology
[Type] => general
)
[8] => Array
(
[SubjectFull] => QH540-549.5
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Advanced solution for urban gardens based on IoT systems, prediction algorithms and multi-criteria application
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Andrei Danila
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Robert Streche
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Oana Orza
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Cristina Dobre
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => George Suciu
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 12
[Type] => published
[Y] => 2024
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 26685418
)
[1] => Array
(
[Type] => issn-print
[Value] => 26688530
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 6
)
[1] => Array
(
[Type] => issue
[Value] => 2
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Romanian Journal of Ecology & Environmental Chemistry
[Type] => main
)
)
)
)
)
)
)
|
IllustrationInfo |