Application of Field Spectrometer in Predicting Copper Content in Plant Leaves
Hyperspectral remote sensing technology with its wavelength continuity is strong, high spectral resolution and spectral information superiority in the application of vegetation remote sensing monitoring and show a strong advantage, to use spectral reflectance data to nondestructive, fast access to crop copper stress condition and carried out in situ in spectral dimension scale and efficient monitoring provides an important technical means
With the development of global economy and the improvement of industrialization level, soil heavy metal pollution, especially Copper (Cu) pollution, has become a very important environmental problem at present. Although copper is an essential micronutrient for crop growth and development, its demand is less. When the content exceeds the standard, it is easy to be absorbed by plants and enter the human body, which not only pollutes crops, but also seriously affects People's Daily life and life health and safety. Therefore, rapid and accurate monitoring of the extent and extent of plant copper pollution is of great significance to effectively identify suspected copper pollution areas, assess health risks, and develop safe and effective prevention and control measures and control the recovery process. At present, the conventional monitoring of crop copper pollution is mainly based on plant sample collection and laboratory chemical analysis. Although this method can obtain relatively accurate results, its development and application are limited by the cumbersome testing process, high cost and long cycle, and the chemical reagents used are highly harmful to the environment.
in recent years, Hyperspectral remote sensing technology with its wavelength continuity is strong, high spectral resolution and spectral information superiority in the application of vegetation remote sensing monitoring and show a strong advantage, to use spectral reflectance data to nondestructive, fast access to crop copper stress condition and carried out in situ in spectral dimension scale and efficient monitoring provides an important technical means. In addition, hyperspectral data are characterized by large amount of spectral information, multiple band dimensions and high degree of multicollinearity between bands.
The Ultra-Mini. Field Spectroradiometer -- ATP9101 portable spectrometer was used to measure the spectral reflectance of the central leaf of the fully expanded leaf under different copper stress from top to bottom of the main stem of plant. Finally, the copper content in leaves was determined by atomic absorption spectrophotometer.
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