A review of turbidity detection based on computer vision

Y Liu, Y Chen, X Fang - IEEE access, 2018 - ieeexplore.ieee.org
Computer vision technology has made great progress in practice in recent years, and it also
has broad application prospects in turbidity detection. Turbidity detection plays an important …

An image-based deep learning model for water turbidity estimation in laboratory conditions

H Feizi, MT Sattari, M Mosaferi, H Apaydin - International Journal of …, 2023 - Springer
One of the important parameters in water quality, especially surface water, is the amount of
turbidity in the water which can have a harmful effect on irrigation water and drinking water …

A Combined Computer Vision and Convolution Neural Network Approach to Classify Turbid Water Samples in Accordance with National Water Quality Standards

Z Nazemi Ashani, MF Zainuddin, IS Che Ilias… - Arabian Journal for …, 2024 - Springer
Computer vision (CV) technologies have been applied extensively in turbid water
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …

Evaluation of Optimization Algorithms for Measurement of Suspended Solids

D Lopez-Betancur, E González-Ramírez… - Water, 2024 - mdpi.com
Advances in convolutional neural networks (CNNs) provide novel and alternative solutions
for water quality management. This paper evaluates state-of-the-art optimization strategies …

High internal phase Pickering emulsions stabilized with graphene oxide in supercritical CO2 system

H Gao, G Hu, K Liu - The Journal of Supercritical Fluids, 2020 - Elsevier
With aid of ultrasonication, water-in-supercritical CO 2 (scCO 2) Pickering-type emulsions
were successfully prepared by using graphene oxide as stabilizer. The phenomenon was …

Low cost and simple procedure to determine water turbidity with image processing

FN Hamidi, MF Zainuddin, Z Abbas… - Proceedings of the …, 2017 - dl.acm.org
This paper demonstrates a simple and cost effective procedure to measure water turbidity
with image processing. Water samples were first placed inside a dark cabin before digital …

Flamingos as ecosystem engineers: flock size and foraging behaviors linked to nutrient availability

HC Delfino, CJ Carlos - Behavioral Ecology, 2024 - academic.oup.com
In wetland ecosystems, birds play a crucial role in nutrient cycling through various activities
such as excrement deposition, sediment disturbance during foraging, and utilization of mud …

[HTML][HTML] Classification of Adulterated Particle Images in Coconut Oil Using Deep Learning Approaches

A Palananda, W Kimpan - Applied Sciences, 2022 - mdpi.com
In the production of coconut oil for consumption, cleanliness and safety are the first priorities
for meeting the standard in Thailand. The presence of color, sediment, or impurities is an …

The effect of mobile camera selection on the capacity to predict water turbidity

J Villamil, J Victorino, F Gómez - Water Science and Technology, 2021 - iwaponline.com
Recently, cameras of mobile have phones emerged as an alternative for quantifying water
turbidity. Most of these studies lack a strategy to determine the water turbidity for new …

A novel image processing technique to evaluate biodiesel wastewater for recovery, recycle and reuse towards zero liquid discharge approach

S Poornapushpakala, SS Dawn, MA Govind… - Biocatalysis and …, 2021 - Elsevier
Water is an essential resource which requires to be preserved for the living beings.
Wastewater generated from both domestic and industrial applications needs to be recycled …