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Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth

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@article{IJASEIT13638,
   author = {Nurpilihan Bafdal and Irfan Ardiansah},
   title = {Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {2},
   year = {2021},
   pages = {427--432},
   keywords = {internet of things; greenhouse; microclimate; misting cooling system; raspberry pi},
   abstract = {

Microclimate control is very important for the cultivation of plants in greenhouses. Some microclimate variables are temperature and humidity, these variables can be controlled using several methods, one of which is the misting of the cooling system, but this process is still done manually. This research aims to create an internet-of-things-based system to automatically control the greenhouse microclimate, controlled and controlled through a website. The results showed that the system could automatically activate the cooling system misting when the temperature is above 30 ℃ and the humidity is below 80%. The greenhouse microclimate data can be controlled and controlled via the website. The automation system works better in maintaining the greenhouse's microclimate conditions than before using the automation system with a difference of 6.25 ˚C temperature and 28.06% higher humidity. Microclimate data can be displayed and accessed via the website, and minimum and maximum temperatures can be set via the website. The factor that affects the greenhouse temperature is the UV index. The higher the UV index, the higher the temperature. When the UV index reaches < 10, the greenhouse temperature can still be reduced to ± 3 ℃. If the UV index > 10, the temperature can still be reduced to a smaller value. The automation system's microclimate data processing is more effective, accurate, and the performance of the automation system reaches 115.22% but will decrease to 80.40% when the light intensity is high.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13638},    doi = {10.18517/ijaseit.11.2.13638} }

EndNote

%A Bafdal, Nurpilihan
%A Ardiansah, Irfan
%D 2021
%T Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth
%B 2021
%9 internet of things; greenhouse; microclimate; misting cooling system; raspberry pi
%! Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth
%K internet of things; greenhouse; microclimate; misting cooling system; raspberry pi
%X 

Microclimate control is very important for the cultivation of plants in greenhouses. Some microclimate variables are temperature and humidity, these variables can be controlled using several methods, one of which is the misting of the cooling system, but this process is still done manually. This research aims to create an internet-of-things-based system to automatically control the greenhouse microclimate, controlled and controlled through a website. The results showed that the system could automatically activate the cooling system misting when the temperature is above 30 ℃ and the humidity is below 80%. The greenhouse microclimate data can be controlled and controlled via the website. The automation system works better in maintaining the greenhouse's microclimate conditions than before using the automation system with a difference of 6.25 ˚C temperature and 28.06% higher humidity. Microclimate data can be displayed and accessed via the website, and minimum and maximum temperatures can be set via the website. The factor that affects the greenhouse temperature is the UV index. The higher the UV index, the higher the temperature. When the UV index reaches < 10, the greenhouse temperature can still be reduced to ± 3 ℃. If the UV index > 10, the temperature can still be reduced to a smaller value. The automation system's microclimate data processing is more effective, accurate, and the performance of the automation system reaches 115.22% but will decrease to 80.40% when the light intensity is high.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13638 %R doi:10.18517/ijaseit.11.2.13638 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 2 %@ 2088-5334

IEEE

Nurpilihan Bafdal and Irfan Ardiansah,"Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 2, pp. 427-432, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.2.13638.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Bafdal, Nurpilihan
AU  - Ardiansah, Irfan
PY  - 2021
TI  - Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 2
Y2  - 2021
SP  - 427
EP  - 432
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - internet of things; greenhouse; microclimate; misting cooling system; raspberry pi
N2  - 

Microclimate control is very important for the cultivation of plants in greenhouses. Some microclimate variables are temperature and humidity, these variables can be controlled using several methods, one of which is the misting of the cooling system, but this process is still done manually. This research aims to create an internet-of-things-based system to automatically control the greenhouse microclimate, controlled and controlled through a website. The results showed that the system could automatically activate the cooling system misting when the temperature is above 30 ℃ and the humidity is below 80%. The greenhouse microclimate data can be controlled and controlled via the website. The automation system works better in maintaining the greenhouse's microclimate conditions than before using the automation system with a difference of 6.25 ˚C temperature and 28.06% higher humidity. Microclimate data can be displayed and accessed via the website, and minimum and maximum temperatures can be set via the website. The factor that affects the greenhouse temperature is the UV index. The higher the UV index, the higher the temperature. When the UV index reaches < 10, the greenhouse temperature can still be reduced to ± 3 ℃. If the UV index > 10, the temperature can still be reduced to a smaller value. The automation system's microclimate data processing is more effective, accurate, and the performance of the automation system reaches 115.22% but will decrease to 80.40% when the light intensity is high.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13638 DO - 10.18517/ijaseit.11.2.13638

RefWorks

RT Journal Article
ID 13638
A1 Bafdal, Nurpilihan
A1 Ardiansah, Irfan
T1 Application of Internet of Things in Smart Greenhouse Microclimate Management for Tomato Growth
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 2
YR 2021
SP 427
OP 432
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 internet of things; greenhouse; microclimate; misting cooling system; raspberry pi
AB 

Microclimate control is very important for the cultivation of plants in greenhouses. Some microclimate variables are temperature and humidity, these variables can be controlled using several methods, one of which is the misting of the cooling system, but this process is still done manually. This research aims to create an internet-of-things-based system to automatically control the greenhouse microclimate, controlled and controlled through a website. The results showed that the system could automatically activate the cooling system misting when the temperature is above 30 ℃ and the humidity is below 80%. The greenhouse microclimate data can be controlled and controlled via the website. The automation system works better in maintaining the greenhouse's microclimate conditions than before using the automation system with a difference of 6.25 ˚C temperature and 28.06% higher humidity. Microclimate data can be displayed and accessed via the website, and minimum and maximum temperatures can be set via the website. The factor that affects the greenhouse temperature is the UV index. The higher the UV index, the higher the temperature. When the UV index reaches < 10, the greenhouse temperature can still be reduced to ± 3 ℃. If the UV index > 10, the temperature can still be reduced to a smaller value. The automation system's microclimate data processing is more effective, accurate, and the performance of the automation system reaches 115.22% but will decrease to 80.40% when the light intensity is high.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=13638 DO - 10.18517/ijaseit.11.2.13638