Visual Internet of Things on Peatland Water Level Management / Muhammad Yusri Bin Md. Yusop
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TextPublication details: Bandar Seri Begawan : Universiti Teknologi Brunei , ©2019 Description: xiii, 98 pages : color illustrations ; 30 cmSubject(s): -- Project report Universiti Teknologi Brunei | Project report -- academic | Internet of things | Peatlands -- Water management | Environmental monitoring -- Technological innovationsOther classification: UTB 120 REPORT THESIS & DISSERTATION | RTDS 281
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| UTB 120 REPORT THESIS & DISSERTATION, RTDS 279 Road Accident Data Enhancement and Development (Raded) / | UTB 120 REPORT, THESIS & DISSERTATION, RTDS 28 Development of methods to produce porous PDMS / | UTB 120 REPORT, THESIS & DISSERTATION, RTDS 280 Security Testing of Applications Based on Threat Modelling / | UTB 120 REPORT THESIS & DISSERTATION, RTDS 281 Visual Internet of Things on Peatland Water Level Management / | UTB 120 REPORT THESIS & DISSERTATION, RTDS 282 Color Detection Device for Food Quality (pH Color Grab) / | UTB 120 REPORT, THESIS & DISSERTATION, RTDS 283 Sign Language Learning Mobile Application / | UTB 120 REPORT THESIS & DISSERTATION, RTDS 284 Photonic Microring Resonator Based Wavelength Division Multiplexing System Characterization / |
Report submitted for the Degree of BSc in Computer Network and Security Universiti Teknologi Brunei
ABSTRACT
Peatland cover over 400 million hectares of the Earth surface. It stores massive amount of carbon pool. They play major roles in accommodating the Earth global warming. But the logging activities from development agriculture site, and housing, has disturbed the ecosystem of peatlands habitat. Thus, urgent action from worldwide is required to protect and restore the peatlands. This includes raising the peat surface water level to avoid drying to mitigate fire. Approaches such as canal blocking was done as one of the strategies to raise it. However, too high water level might contribute to another problem such as flooding. Hence, continuous monitoring is required at least to ensure the water level is maintained within the optimum level. This project explains the proposed system for water level detection on peatland areas using visual Internet of things (IoT). The proposed system includes the use of Raspberry Pi and camera as device to capture image with integration of Arduino to acquire sensors reading. The image then goes through several image processing algorithms for water level detection and finally transmitted over cloud network. The outcome of this project produced camera-based water level detection prototype. The scope for this project is to highlights on Brunei peatland areas located at Badas, Kuala Belait.
Keywords: Raspberry Pi, Camera, Internet of Things (IoT), Image Processing, Water level detection, Peatland
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