Hyper spectral data to detect Arsenic contamination

Hyper spectral data to detect Arsenic contamination

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US: Researchers have found that arsenic levels causing injury to the rice plant may be detectable via remote-sensing methods.

Anthony Filippi and Burak Güneralp from the Department of Geography of Texas A&M University, and Lee Tarpley from Texas A&M AgriLife Research Center are employing close-range hyperspectral imaging for detecting the presence of arsenic in rice. They have found that hyperspectral image data can be processed to detect materials that may not typically be distinguished by multispectral remote sensors. It could also be used to detect plant canopy biophysical/chemical properties more accurately. The project is supported by the Ocean Optics Blue Ocean Grant programme. The researchers are using SOC710VP HS-Portable Spectral Imaging System from Surface Optics Corp.

Source: optics.org