Researchers developed a flexible sensor that monitors meat freshness through dielectric property changes, addressing key challenges in food safety management.
This advanced humidity sensor, utilizing porous nanoforests, offers precise behavior recognition, paving the way for innovations in healthcare and smart homes.
c-FIRST, NASA's innovative wildfire monitoring tool, captures real-time thermal imagery, enhancing scientific research and improving fire management strategies.
Discover how intelligent packaging uses advanced sensors and smart technology to enhance food safety, extend shelf life, and reduce waste.
The review examines smart packaging's effectiveness in fruit and vegetable preservation, highlighting its impact on food safety, shelf life, and sustainability.
Researchers developed a novel sensor using nitrogen and sulfur co-doped R-GQDs for rapid detection of water content in organic solvents, enhancing food safety.
Researchers introduced a joint sensing and communication system for smart agriculture, integrating an ultra-compact soil moisture sensor (UCSMS) with a pattern reconfigurable antenna (PRA). This system enhances precision in soil moisture measurement and enables reliable long-distance communication, improving agricultural efficiency and sustainability.
Researchers from Korea developed a humidity sensor using porous silicon nitride structures designed for alkaline environments, addressing a critical need in various industrial applications. The sensor demonstrated high sensitivity, rapid response, and robust chemical stability, offering a reliable solution for accurate humidity monitoring in challenging conditions.
Beyond the sensitivity of most indoor air quality sensors, researchers have created a sensor made of “frozen smoke” that uses artificial intelligence techniques to detect formaldehyde in real time at concentrations as low as eight parts per billion.
Extech’s new 42280A series temperature and humidity data logger features a number of notable enhancements over the company’s highly successful legacy model to ensure even higher performance and capability levels in indoor environmental monitoring applications.
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