Towards online surface water quality monitoring technology: A review
The exponential growth of human population and anthropogenic activities have led to the
increase of global surface water contamination especially in river, lakes and ocean. Safe …
increase of global surface water contamination especially in river, lakes and ocean. Safe …
Current situation of agricultural non-point source pollution and its control
M Wang, T Jiang, Y Mao, F Wang, J Yu, C Zhu - Water, Air, & Soil Pollution, 2023 - Springer
Agricultural non-point source pollution (AGNPS) is considered a key problem affecting
global water quality. The main causes of AGNPS are the loss of N, P, and other pollutants in …
global water quality. The main causes of AGNPS are the loss of N, P, and other pollutants in …
Fight fire with fire: Detecting forest fires with embedded machine learning models dealing with audio and images on low power IoT devices
Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …
Toward industrial revolution 4.0: Development, validation, and application of 3D-printed IoT-based water quality monitoring system
YJ Wong, R Nakayama, Y Shimizu, A Kamiya… - Journal of Cleaner …, 2021 - Elsevier
Recent technological advances and developments have evolved the application of the
Internet of Things (IoT), low-cost sensors, and three-dimensional (3D) printing for near-real …
Internet of Things (IoT), low-cost sensors, and three-dimensional (3D) printing for near-real …
IoT-enabled chlorine level assessment and prediction in water monitoring system using machine learning
CV Chinnappan, AD John William, SKC Nidamanuri… - Electronics, 2023 - mdpi.com
The significance of user participation in sustaining drinking water quality and assessing
other factors, such as cleanliness, sanitary conditions, preservation, and waste treatment, is …
other factors, such as cleanliness, sanitary conditions, preservation, and waste treatment, is …
Event-driven circuits and systems: A promising low power technique for intelligent sensors in aiot era
This brief presents an overview of current trends in the level-crossing based even-driven
systems for wireless sensors in AIoT applications. We show that orders of magnitude …
systems for wireless sensors in AIoT applications. We show that orders of magnitude …
Memristor-based long and short-term memory network models for optimal prediction in the IoT
J Sun, Y Cao, Y Yue, Y Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The operational integrity and rotational accuracy of bearings are critical in maintaining the
reliability of precision devices within IoT systems. In order to improve the efficiency and …
reliability of precision devices within IoT systems. In order to improve the efficiency and …
Integrating deep learning techniques for effective river water quality monitoring and management
C Chellaiah, S Anbalagan, D Swaminathan… - Journal of …, 2024 - Elsevier
Effective river water quality monitoring is essential for sustainable water resource
management. In this study, we established a comprehensive monitoring system along the …
management. In this study, we established a comprehensive monitoring system along the …
TEMPSENSE: LoRa enabled integrated sensing and localization solution for water quality monitoring
With the continuous increase in water pollution, water quality monitoring has become quite
essential. Though existing solutions facilitate various features [eg, the potential of hydrogen …
essential. Though existing solutions facilitate various features [eg, the potential of hydrogen …
Insights on the internet of things: past, present, and future directions
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …