Internet of things technology for greenhouse monitoring and management system based on wireless sensor network
The rapid development of agrotechnology is playing an important role in the production of greenhouse plantation for cultivating high value fruits, flowers or vegetables. It is imperative to constantly monitor these high value crops optimal requirements at every phase of the plant growth cycle to ma...
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my-unimap-727682023-03-06T01:17:59Z Internet of things technology for greenhouse monitoring and management system based on wireless sensor network Mohd Najmuddin, Mohd Hassan, Assoc. Prof. dr. The rapid development of agrotechnology is playing an important role in the production of greenhouse plantation for cultivating high value fruits, flowers or vegetables. It is imperative to constantly monitor these high value crops optimal requirements at every phase of the plant growth cycle to maintain the best quality production. However, traditional manual inspection, data collection and control method for large-scale greenhouse plantation deemed inefficient with high costs, time consuming and laborious. This project introduces a scheduler to enhance greenhouse management by taking into considerations the different phases of plant growth. The scheduling concept is also a contribution to this research projects implemented and it is believed there is no specific study on scheduling concepts in the automation system according to specific cycles and phases in the crop. Measuring several points in a greenhouse are required to trace down the local climate parameters to ensure the automation system works properly. Cabling would make the measurement system expensive and vulnerable in a large greenhouse plantation. Moreover, the cabled measurement points are complicated and difficult to maintain and relocate once they are installed. Thus, a Wireless Sensor Network (WSN) consisting of small-size wireless sensor nodes based on ZigBee technology is an attractive and cost-efficient option to build the required system. The system is used to sense and monitor the temperature, humidity, light, soil moisture and carbon dioxide which are essential in the photosynthesis process. The scheduler is build using Visual Basic C# to analyse, display and control the actuators in real-time. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72768 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/1/Page%201-24.pdf 56dd9505dad73c2bc7227f472808235b http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/2/Full%20text.pdf 839649fef83eed6e1a77dbe778ddbc2f http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/4/Ahmad%20Asyraf.pdf 959eedfb98399d9299efc2bf43f76601 Universiti Malaysia Perlis (UniMAP) Greenhouse plants Wireless sensor networks Computer science Greenhouse -- Monitoring and management system Internet of Things (IoT) School of Computer and Communication Engineering |
| institution |
Universiti Malaysia Perlis |
| collection |
UniMAP Institutional Repository |
| language |
English |
| advisor |
Mohd Najmuddin, Mohd Hassan, Assoc. Prof. dr. |
| topic |
Greenhouse plants Wireless sensor networks Computer science Greenhouse -- Monitoring and management system Internet of Things (IoT) |
| spellingShingle |
Greenhouse plants Wireless sensor networks Computer science Greenhouse -- Monitoring and management system Internet of Things (IoT) Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| description |
The rapid development of agrotechnology is playing an important role in the production of greenhouse plantation for cultivating high value fruits, flowers or vegetables. It is imperative to constantly monitor these high value crops optimal requirements at every
phase of the plant growth cycle to maintain the best quality production. However, traditional manual inspection, data collection and control method for large-scale greenhouse plantation deemed inefficient with high costs, time consuming and laborious.
This project introduces a scheduler to enhance greenhouse management by taking into considerations the different phases of plant growth. The scheduling concept is also a contribution to this research projects implemented and it is believed there is no specific study on scheduling concepts in the automation system according to specific cycles and phases in the crop. Measuring several points in a greenhouse are required to trace down the local climate parameters to ensure the automation system works properly. Cabling would make the measurement system expensive and vulnerable in a large greenhouse plantation. Moreover, the cabled measurement points are complicated and difficult to maintain and relocate once they are installed. Thus, a Wireless Sensor Network (WSN) consisting of small-size wireless sensor nodes based on ZigBee technology is an attractive and cost-efficient option to build the required system. The system is used to sense and monitor the temperature, humidity, light, soil moisture and carbon dioxide which are essential in the photosynthesis process. The scheduler is build using Visual Basic C# to
analyse, display and control the actuators in real-time. |
| format |
Thesis |
| title |
Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| title_short |
Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| title_full |
Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| title_fullStr |
Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| title_full_unstemmed |
Internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| title_sort |
internet of things technology for greenhouse monitoring and management system based on wireless sensor network |
| granting_institution |
Universiti Malaysia Perlis (UniMAP) |
| granting_department |
School of Computer and Communication Engineering |
| url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72768/4/Ahmad%20Asyraf.pdf |
| _version_ |
1776104227754475520 |