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Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard

Data analytics plays a crucial role in enabling precision agriculture within the era of Smart Farms. This study investigates the significance of a data dashboard in managing IoT-based Smart Farms, specifically emphasizing water quality monitoring. Although Smart farms offer promising alternatives to...

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Bibliographic Details
Main Author: Ballistair, Qallie Konsil
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
Subjects:
QA Mathematics
Online Access:http://ir.unimas.my/id/eprint/44146/1/Ballistair%20Qallie%20ft.pdf
http://ir.unimas.my/id/eprint/44146/
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spelling my.unimas.ir.441462024-01-16T09:30:59Z http://ir.unimas.my/id/eprint/44146/ Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard Ballistair, Qallie Konsil QA Mathematics Data analytics plays a crucial role in enabling precision agriculture within the era of Smart Farms. This study investigates the significance of a data dashboard in managing IoT-based Smart Farms, specifically emphasizing water quality monitoring. Although Smart farms offer promising alternatives to traditional agriculture, they often encounter challenges related to complexity. To address this, the study proposes a comprehensive tool for data comprehension, visualization, and management within IoT Smart Farms. This tool has the potential to simplify transitions to smart farming, enhance operations, and optimize resource utilization and efficiency. The evaluation results demonstrate that over 90% of participants expressed a positive perception of the proposed dashboard, highlighting its potential to improve resource use and efficiency. This research contributes to the advancement of sustainable farming practices and effectively addresses the demands posed by global population growth. Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/44146/1/Ballistair%20Qallie%20ft.pdf Ballistair, Qallie Konsil (2023) Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Ballistair, Qallie Konsil
Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
description Data analytics plays a crucial role in enabling precision agriculture within the era of Smart Farms. This study investigates the significance of a data dashboard in managing IoT-based Smart Farms, specifically emphasizing water quality monitoring. Although Smart farms offer promising alternatives to traditional agriculture, they often encounter challenges related to complexity. To address this, the study proposes a comprehensive tool for data comprehension, visualization, and management within IoT Smart Farms. This tool has the potential to simplify transitions to smart farming, enhance operations, and optimize resource utilization and efficiency. The evaluation results demonstrate that over 90% of participants expressed a positive perception of the proposed dashboard, highlighting its potential to improve resource use and efficiency. This research contributes to the advancement of sustainable farming practices and effectively addresses the demands posed by global population growth.
format Final Year Project Report
author Ballistair, Qallie Konsil
author_facet Ballistair, Qallie Konsil
author_sort Ballistair, Qallie Konsil
title Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
title_short Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
title_full Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
title_fullStr Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
title_full_unstemmed Development and Evaluation of an IoT-Based Water Quality Monitoring System for Sustainable Smart Farming Using a Data Analytics Dashboard
title_sort development and evaluation of an iot-based water quality monitoring system for sustainable smart farming using a data analytics dashboard
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2023
url http://ir.unimas.my/id/eprint/44146/1/Ballistair%20Qallie%20ft.pdf
http://ir.unimas.my/id/eprint/44146/
_version_ 1789430366577098752
score 13.211869

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