Computer vision and image processing have made significant progress in many real-world applications, including environmental monitoring and protection. Recent studies have shown that computer vision and image processing can be used to quantify water turbidity, a crucial physical parameter in water quality assessment. This paper presents a procedure to determine water turbidity using deep learning methods, specifically, convolutional neural network (CNN). At first, water samples were located inside a dark cabin before digital images of the samples were captured with a smartphone camera.

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[1] Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias, "Water samples for turbidity detection", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/fnea-8z25. Accessed: Dec. 26, 2024.
@data{fnea-8z25-21,
doi = {10.21227/fnea-8z25},
url = {http://dx.doi.org/10.21227/fnea-8z25},
author = {Zahra Nazemi; Mohamad Faiz Zainuddin; Iszuanie Syafidza Che Ilias },
publisher = {IEEE Dataport},
title = {Water samples for turbidity detection},
year = {2021} }
TY - DATA
T1 - Water samples for turbidity detection
AU - Zahra Nazemi; Mohamad Faiz Zainuddin; Iszuanie Syafidza Che Ilias
PY - 2021
PB - IEEE Dataport
UR - 10.21227/fnea-8z25
ER -
Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias. (2021). Water samples for turbidity detection. IEEE Dataport. http://dx.doi.org/10.21227/fnea-8z25
Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias, 2021. Water samples for turbidity detection. Available at: http://dx.doi.org/10.21227/fnea-8z25.
Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias. (2021). "Water samples for turbidity detection." Web.
1. Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias. Water samples for turbidity detection [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/fnea-8z25
Zahra Nazemi, Mohamad Faiz Zainuddin, Iszuanie Syafidza Che Ilias. "Water samples for turbidity detection." doi: 10.21227/fnea-8z25