Researchers from the University of Wisconsin–Madison have created inexpensive sensors that enable continuous, real-time nitrate monitoring in a variety of Wisconsin soil types.
An international team of researchers from the City University of New York, the University of Melbourne, RMIT University, and the ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS) created a lightweight, compact sensor system with infrared imaging capabilities that might be easily mounted to a drone for remote crop monitoring. This research was published in the journal Nature Communications.
Researchers in the United Kingdom have developed organic bioelectronic fibers that integrate seamlessly with biological tissues, aiming to create non-invasive platforms for health monitoring and environmental sensing.
In a recent study published in the journal Microsystems & Nanoengineering, researchers from the Beijing Institute of Nanoenergy and Nanosystems developed a Breeze Wake-Up Anemometer (B-WA) that offers a low-energy environmental monitoring method using a Rolling-Bearing Triboelectric Nanogenerator (RB-TENG).
A new continuous metals monitoring technology was recently trialled at a river by a Talc production plant in central Finland. The trial was conducted to assess the possibility of avoiding the need to sample and analyze large numbers of environmental water samples.
A research team from the Korea Institute of Machinery and Materials and an institute under the Ministry of Science and ICT’s jurisdiction has developed, for the first time in the nation, a noble technology that can locate pipeline leaks in real-time from a distance using acoustic sensors.
Using satellite-based hyperspectral sensors that can capture images of Earth beyond the visible light we can see with our eyes, startup Orbital Sidekick provides valuable global monitoring services to customers around the world.
Researchers in China have developed a wavelet denoising approach to improve the accuracy of settlement location identification in fiber optic monitoring signals within permafrost regions. By selecting optimal wavelet basis functions and decomposition levels, they effectively reduced noise interference while preserving essential signal features, thus enhancing the reliability of infrastructure monitoring systems in challenging environmental conditions.
A recent study in Scientific Reports introduces a stochastic SEIRS model to dissect the intricate dynamics of worm transmission in wireless sensor networks (WSNs). By integrating environmental randomness, the research uncovers critical insights into malware propagation, paving the way for proactive control strategies to fortify network security against malicious attacks.
A recent article in Scientific Reports introduces a novel Mach-Zehnder interference (MZI) temperature sensor chip designed on a silica substrate, addressing the challenges of temperature monitoring in seawater environments.
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