(For USM Staff/Student Only)

EngLib USM > Ω School of Electrical & Electronic Engineering >

A study towards upgrading the smart aquaculture tracking and monitoring system with iot based

A study towards upgrading the smart aquaculture tracking and monitoring system with iot based / Nur Afifah Ahmad Nizam
Air adalah salah satu keperluan hidup yang penting. Mendapatkan air bersih mungkin menjadi krisis sekarang ini disebabkan pembangunan, yang menyebabkan pencemaran kepda sumber air. Air tercemar dari sungai, tasik dan takungan akan mengalir ke kawasan perikanan. Ia akan menyusahkan petani untuk selalu memeriksa kualiti air yang dengan menjalankan prosedur manual dan tradisional untuk menguji sampel air. Melalui IoT, kita boleh mendapatkan data masa nyata. Suhu, paras pH dan jumlah kelarutan oksigen adalah parameter yang dapat mengesahkan kualiti air. Sensor hujan digunakan sebagai parameter untuk keselamatan kepada sistem. Data dari sensor akan disimpan di pengkomputeran awan dengan menggunakan modul ZigBee sebagai protokol komunikasi. Data yang dikumpulkan dari mikropengawal akan dipaparkan pada aplikasi berasaskan web untuk dipantau. HTML, CSS, PHP dan JavaScript digunakan untuk membina aplikasi berasaskan web sebagai produk akhir. Data akan dipaparkan dan nilai terkumpul akan diperiksa sama ada ia berada dalam kawalan. Data terkawal mewakili keadaan keselamatan bagi sistem IoT-AQM. Sekiranya data dari sensor tidak berada dalam nilai terkawal, notis amaran akan dihantar kepada pengguna. Dengan menggunakan projek ini dalam industri pertanian, sebarang isu terhadap kualiti air yang boleh membahayakan kehidupan akuatik boleh dikurangkan. Projek ini akan membantu meringankan beban kerja para petani supaya mereka dapat memberi tumpuan lebih kepada isu lain untuk memastikan pertumbuhan kehidupan akuatik. Banyak peningkatan dalam industri boleh dicapai kerana kadar kerosakan berkurangan melalui pelaksanaan projek ini. _______________________________________________________________________________________________________ Water is one of the important living needs. Getting clean water might be a crisis nowadays due to the rapid growth of development, which cause pollutions towards the water source. The polluted water source from rivers, lakes and reservoir will flow into the fishery farming area. It is a hustle for the farmers to keep on checking the water quality as they need to carry out the manual and traditional procedure by testing out water samples. Through IoT, we can get the real time data. Temperature, pH level and amount of the dissolve oxygen are the parameters that can verify the quality of water. Rain sensor is used as the parameter for the safety of the system. Data from the sensors will be stored at the cloud by using the ZigBee module as the communication protocol. The data collected from the microcontroller will be displayed on the web-based application to be monitor. HTML, CSS, PHP and JavaScript are used to develop the web-based application as the user interface. The data will be displayed and the collected value will be checked either it is in the threshold range. Data in the threshold range represents the safety state of the IoT-AQM system. If any data from the sensor is out of the threshold range, warning notification will be sent to the user. By applying this project in the agriculture industry, any issue towards the water quality that can harm the aquatic life can be reduced. This project helps to ease the work burden of the farmers so they can focus more on other major issue to ensure the growth of the aquatic life. More improvement in the industry can be achieved as the rate of damage is decreasing through the implementation of this project in the agriculture industry.
Contributor(s):
Nur Afifah Ahmad Nizam - Author
Primary Item Type:
Final Year Project
Identifiers:
Accession Number : 875008623
Language:
English
Subject Keywords:
Water; pollutions; fishery
First presented to the public:
6/1/2019
Original Publication Date:
2/26/2020
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 79
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2020-02-26 16:15:21.671
Date Last Updated
2020-11-26 11:06:04.399
Submitter:
Mohd Jasnizam Mohd Salleh

All Versions

Thumbnail Name Version Created Date
A study towards upgrading the smart aquaculture tracking and monitoring system with iot based1 2020-02-26 16:15:21.671