Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model

U Mohseni, CB Pande, SC Pal, F Alshehri - Chemosphere, 2024 - Elsevier
Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …

[HTML][HTML] Charting the aquaculture internet of things impact: Key applications, challenges, and future trend

AF Abdullah, HC Man, A Mohammed, MM Abd Karim… - Aquaculture …, 2024 - Elsevier
Aquaculture plays a pivotal role in global food production, grappling with distinct hurdles in
water quality, feeding operation, and disease control. Efficient management of these core …

The internet of things (iot), applications and challenges: a comprehensive review

M Sayed - Journal of Innovative Intelligent Computing and …, 2024 - jiicet.gnt.com.pk
This paper offers a thorough exploration of Internet of Things (IoT) applications,
encompassing diverse sectors such as healthcare, smart cities, agriculture, industrial …

Water quality monitoring and assessment for efficient water resource management through internet of things and machine learning approaches for agricultural …

MA Rahu, MM Shaikh, S Karim, SA Soomro… - Water Resources …, 2024 - Springer
Water quality monitoring and assessment play crucial roles in efficient water resource
management, particularly in the context of agricultural rrigation. Leveraging Internet of …

Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method

M Mokarram, HR Pourghasemi, TM Pham - Marine Pollution Bulletin, 2024 - Elsevier
The escalating growth of the global population has led to degraded water quality,
particularly in seawater environments. Water quality monitoring is crucial to understanding …

IoT and machine learning solutions for monitoring agricultural water quality: a robust framework

MA Rahu, MM Shaikh, S Karim… - … Research Journal Of …, 2024 - search.informit.org
All living things, comprising animals, plants, and people require water to survive. The world
is covered in water, just 1 percent of it is fresh and functional. The importance and value of …

[HTML][HTML] A hybrid machine learning approach for imbalanced irrigation water quality classification

M Mustapha, M Zineddine, E Kaufman… - Desalination and Water …, 2025 - Elsevier
Global food security is increasingly dependent on irrigation, particularly in regions
experiencing freshwater scarcity. Conventional laboratory methods for assessing Irrigation …

[HTML][HTML] Hypertuning-Based Ensemble Machine Learning Approach for Real-Time Water Quality Monitoring and Prediction

MSB Shahid, HR Rifat, MA Uddin, MM Islam… - Applied Sciences, 2024 - mdpi.com
In the present day, the health of the populace is significantly jeopardized by the presence of
contaminated water, and the majority of the population is unaware of the distinction between …

[HTML][HTML] Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques

M He, Q Qian, X Liu, J Zhang, J Curry - Water, 2024 - mdpi.com
Surface waterbodies are heavily exposed to pollutants caused by natural disasters and
human activities. Empowering sensor technologies in water quality monitoring, sufficient …

Remote sensing data-based satellite image analysis in water quality detection for public health data modelling

S Balakrishnan, PM Preetam Raj, J Somasekar… - Remote Sensing in …, 2024 - Springer
One of the most important aspects of environmental sustainability is water quality monitoring.
The ecology is impacted by poor water quality in addition to aquatic life. With the volume of …