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Embedded Networked Sensing (Image 1)

Graduate student Nithya Ramanathan deploys soil sensors in a rice field in Bangladesh

Embedded Networked Sensing (Image 1)

Nithya Ramanathan, a graduate student with the Center for Embedded Networked Sensing (CENS), deploys soil sensors in a rice field in Bangladesh. Ramanathan was with a research team that deployed the embedded sensing system in a rice paddy to evaluate the relationship between irrigation and arsenic contamination in the groundwater. Tens of millions of people in the Ganges Delta must drink groundwater that is dangerously contaminated with arsenic.

Shallow wells combined with local agricultural practices has led to the release of arsenic into the soil. Additionally, after flooding, waterbourne diseases enter the water supply. Using our sensors, we can rapidly test the water to determine if it needs to be treated before it is consumed by the local populations.

CENS, a National Science Foundation (NSF) Science & Technology Center, is developing Embedded Networked Sensing Systems and applying this revolutionary technology to critical scientific and social applications. Like the Internet, these large-scale distributed systems, composed of smart sensors and actuators embedded in the physical world, will eventually infuse the entire world, but at a physical level instead of virtual.

An interdisciplinary and multi-institutional venture, CENS involves hundreds of faculty, engineers, graduate student researchers and undergraduate students from multiple disciplines at CENS partner institutions, which include University of California at Los Angeles (UCLA), University of Southern California (USC), University of California Riverside (UCR), California Institute of Technology (Caltech), University of California at Merced (UCM) and California State University at Los Angeles (CSULA). Further information about CENS is available at the center's website. [Support for CENS from NSF grant CCR 01-20778.] (Date of Image: 2007) [See Related Image.]

Credit: Center for Embedded Networked Sensing, University of California, Los Angeles

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