Soil moisture info important to NASA engineers & farmers
The data is used to monitor climate patterns and predict landslides, and University of Michigan engineers are working on a system that will make collecting and analyzing it more accurate.
Currently, most soil moisture data comes remotely from instruments attached to satellites.
This allows for large scale monitoring, but these systems are in need of on-the-ground feedback for calibration.
Electrical engineering professor Mingyan Liu and her team have developed special sensors and are planting them at test sites in Oklahoma and California.
This hardware will help make large-scale remote soil moisture sensing more useful. It also offers new opportunities for smaller, local sensing applications.
About the Professor:
Mingyan Liu (http://www.eecs.umich.edu/eecs/etc/fa…) is a professor of electrical engineering and computer science (http://www.eecs.umich.edu/) at the University of Michigan College of Engineering (http://www.engin.umich.edu/). Her research focuses on performance analysis and building energy-efficient and high-performance networking mechanisms for wireless sensor networks, mobile wireless ad hoc networks, and broadband satellite networks. (http://web.eecs.umich.edu/~mingyan/) She is also interested in optimal resource allocation as well as network modeling and simulation techniques for such networks.
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