# Water Quality Monitoring Technologies

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/water-quality-monitoring-technologies/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on real-time monitoring of water quality, aquaculture management, and environmental sensing using advanced technologies such as sensor networks, IoT, and computer vision. The research covers topics including smart sensors, wireless monitoring, fish behavior analysis, and remote sensing for environmental monitoring. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t12697 |
| Works | 123 |

## Topic papers all

Showing 15 of 123.

- [A Survey on Successors of LEACH Protocol](https://scholariq.org/papers/a-survey-on-successors-of-leach-protocol/)
- [Big data and IoT-based applications in smart environments: A systematic review](https://scholariq.org/papers/big-data-and-iot-based-applications-in-smart-environments-a-systematic-review/)
- [Fuzzy Logic based Smart Irrigation System using Internet of Things](https://scholariq.org/papers/fuzzy-logic-based-smart-irrigation-system-using-internet-of-things/)
- [Internet of things for smart ports: Technologies and challenges](https://scholariq.org/papers/internet-of-things-for-smart-ports-technologies-and-challenges/)
- [Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability](https://scholariq.org/papers/sensors-driven-ai-based-agriculture-recommendation-model-for-assessing-land/)
- [An Adaptive Strategy for Quality-Based Data Reduction in Wireless Sensor Networks](https://scholariq.org/papers/an-adaptive-strategy-for-quality-based-data-reduction-in-wireless-sensor/)
- [HydroSense](https://scholariq.org/papers/hydrosense/)
- [Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin](https://scholariq.org/papers/water-quality-index-modeling-using-random-forest-and-improved-smo-algorithm-for/)
- [Online Drinking Water Quality Monitoring: Review on Available and Emerging Technologies](https://scholariq.org/papers/online-drinking-water-quality-monitoring-review-on-available-and-emerging/)
- [Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms](https://scholariq.org/papers/efficient-prediction-of-water-quality-index-wqi-using-machine-learning/)
- [Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks](https://scholariq.org/papers/deep-learning-with-lstm-based-distributed-data-mining-model-for-energy-efficient/)
- [A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks](https://scholariq.org/papers/a-depth-controlled-and-energy-efficient-routing-protocol-for-underwater-wireless/)
- [IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms](https://scholariq.org/papers/iot-framework-for-measurement-and-precision-agriculture-predicting-the-crop/)
- [LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities](https://scholariq.org/papers/lora-based-intelligent-soil-and-weather-condition-monitoring-with-internet-of/)
- [An Intelligent Food-Intake Monitoring System Using Wearable Sensors](https://scholariq.org/papers/an-intelligent-food-intake-monitoring-system-using-wearable-sensors/)

## Topic primary papers

Showing 15 of 40.

- [Fuzzy Logic based Smart Irrigation System using Internet of Things](https://scholariq.org/papers/fuzzy-logic-based-smart-irrigation-system-using-internet-of-things/)
- [Internet of things for smart ports: Technologies and challenges](https://scholariq.org/papers/internet-of-things-for-smart-ports-technologies-and-challenges/)
- [Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms](https://scholariq.org/papers/efficient-prediction-of-water-quality-index-wqi-using-machine-learning/)
- [A Comprehensive Review of Microfluidic Water Quality Monitoring Sensors](https://scholariq.org/papers/a-comprehensive-review-of-microfluidic-water-quality-monitoring-sensors/)
- [A deep neural networks based model for uninterrupted marine environment monitoring](https://scholariq.org/papers/a-deep-neural-networks-based-model-for-uninterrupted-marine-environment/)
- [High frequency monitoring of the coastal marine environment using the MAREL buoy](https://scholariq.org/papers/high-frequency-monitoring-of-the-coastal-marine-environment-using-the-marel-buoy/)
- [Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks](https://scholariq.org/papers/detecting-and-counting-harvested-fish-and-identifying-fish-types-in-electronic/)
- [Water Quality Assessment Through Predictive Machine Learning](https://scholariq.org/papers/water-quality-assessment-through-predictive-machine-learning/)
- [Prediction of effluent total nitrogen and energy consumption in wastewater treatment plants: Bayesian optimization machine learning methods](https://scholariq.org/papers/prediction-of-effluent-total-nitrogen-and-energy-consumption-in-wastewater/)
- [Wireless Disaster Monitoring and Management System for Dams](https://scholariq.org/papers/wireless-disaster-monitoring-and-management-system-for-dams/)
- [Remote Sensing Techniques for Water Quality Monitoring: A Review](https://scholariq.org/papers/remote-sensing-techniques-for-water-quality-monitoring-a-review/)
- [Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish](https://scholariq.org/papers/analysis-of-behavior-trajectory-based-on-deep-learning-in-ammonia-environment/)
- [Automatic measurement of the body length of harvested fish using convolutional neural networks](https://scholariq.org/papers/automatic-measurement-of-the-body-length-of-harvested-fish-using-convolutional/)
- [Dynamic Inversion of Inland Aquaculture Water Quality Based on UAVs-WSN Spectral Analysis](https://scholariq.org/papers/dynamic-inversion-of-inland-aquaculture-water-quality-based-on-uavs-wsn-spectral/)
- [Examining the effect of aquaculture using sensor‐based technology with machine learning algorithm](https://scholariq.org/papers/examining-the-effect-of-aquaculture-using-sensor-based-technology-with-machine/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.