A smart maintenance and monitoring system for life indoor plants
This report presents the building of a smart indoor plant monitoring and maintenance system for educational purpose. The hardware used for the building of the system are Raspberry Pi 3B+, Raspberry Pi camera, capacitive soil moisture sensor, photoresistor, Neopixel LED ring and immersible water pump...
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Nanyang Technological University
2020
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sg-ntu-dr.10356-1382002020-04-29T02:00:23Z A smart maintenance and monitoring system for life indoor plants Ng, Zhe Hui Goh Wooi Boon School of Computer Science and Engineering aswbgoh@ntu.edu.sg Engineering::Computer science and engineering::Hardware This report presents the building of a smart indoor plant monitoring and maintenance system for educational purpose. The hardware used for the building of the system are Raspberry Pi 3B+, Raspberry Pi camera, capacitive soil moisture sensor, photoresistor, Neopixel LED ring and immersible water pump. Upon receiving the desired configuration from user, the system will feedback to the plant’s environment through actuators, adjusting to the environment data received via the sensors. The system will transmit the information to user’s android smartphone wirelessly through the internet using Firebase Database. The software language used are Python 3.7 for Raspberry Pi 3B+ and Java for Android Studio for the smartphone application. Bachelor of Engineering (Computer Engineering) 2020-04-29T01:50:32Z 2020-04-29T01:50:32Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138200 en SCSE19-0311 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Hardware Ng, Zhe Hui A smart maintenance and monitoring system for life indoor plants |
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This report presents the building of a smart indoor plant monitoring and maintenance system for educational purpose. The hardware used for the building of the system are Raspberry Pi 3B+, Raspberry Pi camera, capacitive soil moisture sensor, photoresistor, Neopixel LED ring and immersible water pump. Upon receiving the desired configuration from user, the system will feedback to the plant’s environment through actuators, adjusting to the environment data received via the sensors. The system will transmit the information to user’s android smartphone wirelessly through the internet using Firebase Database. The software language used are Python 3.7 for Raspberry Pi 3B+ and Java for Android Studio for the smartphone application. |
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Goh Wooi Boon |
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Goh Wooi Boon Ng, Zhe Hui |
format |
Final Year Project |
author |
Ng, Zhe Hui |
author_sort |
Ng, Zhe Hui |
title |
A smart maintenance and monitoring system for life indoor plants |
title_short |
A smart maintenance and monitoring system for life indoor plants |
title_full |
A smart maintenance and monitoring system for life indoor plants |
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A smart maintenance and monitoring system for life indoor plants |
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A smart maintenance and monitoring system for life indoor plants |
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smart maintenance and monitoring system for life indoor plants |
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Nanyang Technological University |
publishDate |
2020 |
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https://hdl.handle.net/10356/138200 |
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1681056362408181760 |