TY - GEN
T1 - Design of Sensor Node for Greenhouse Real-Time Monitoring System
AU - Puspitasari, Windi
AU - Setijadi, Eko
AU - Affandi, Achmad
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - The Population grows every year. Based on a survey in 2015-2045 shows that the population will increase from 255.6 million to 319.0 million. The effect of population growth will increase the need for food too. In supporting of food needs, therefore we need technology to be used in conducting real-time monitoring. Wireless Sensor Network (WSN) is a well-implemented technology in monitoring systems. Implementing WSN for monitoring systems purposes to put a sensor node in an area that aims to monitor the environment condition, such as temperature, CO2, O2, and soil moisture. The use of WSN on a monitoring system can be more efficient in the use of human energy, reducing costs, and producing accurate monitoring data. This research proposes hardware that is used to monitor the greenhouse condition in real-time, such as temperature, humidity, and soil moisture. Furthermore, the result from the temperature inside the greenhouse has an error of 2.9%. The percentage of error from the humidity measurement is 1.7% meanwhile, the percentage of error from the soil moisture measurement is 1.9%.
AB - The Population grows every year. Based on a survey in 2015-2045 shows that the population will increase from 255.6 million to 319.0 million. The effect of population growth will increase the need for food too. In supporting of food needs, therefore we need technology to be used in conducting real-time monitoring. Wireless Sensor Network (WSN) is a well-implemented technology in monitoring systems. Implementing WSN for monitoring systems purposes to put a sensor node in an area that aims to monitor the environment condition, such as temperature, CO2, O2, and soil moisture. The use of WSN on a monitoring system can be more efficient in the use of human energy, reducing costs, and producing accurate monitoring data. This research proposes hardware that is used to monitor the greenhouse condition in real-time, such as temperature, humidity, and soil moisture. Furthermore, the result from the temperature inside the greenhouse has an error of 2.9%. The percentage of error from the humidity measurement is 1.7% meanwhile, the percentage of error from the soil moisture measurement is 1.9%.
KW - WSN
KW - real-time monitoring system
KW - sensor nodes
UR - http://www.scopus.com/inward/record.url?scp=85091708451&partnerID=8YFLogxK
U2 - 10.1109/ISITIA49792.2020.9163751
DO - 10.1109/ISITIA49792.2020.9163751
M3 - Conference contribution
AN - SCOPUS:85091708451
T3 - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020
SP - 71
EP - 76
BT - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Y2 - 22 July 2020 through 23 July 2020
ER -