Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis

▸ Accurate detection of heavy metal-induced stress on the growth of crops is essential for agricultural ecological environment and food security. How to explore sensitive spectral parameter for monitoring stress levels of crop under heavy metal from hyperspectral remote sensing is a challenging issu...
Ausführliche Beschreibung

▸ Accurate detection of heavy metal-induced stress on the growth of crops is essential for agricultural ecological environment and food security. How to explore sensitive spectral parameter for monitoring stress levels of crop under heavy metal from hyperspectral remote sensing is a challenging issue. ▸ In our manuscript, wavelet transform in conjunction with fractal analysis were adopted to extract and quantify subtle stress information of rice under heavy metal. The method of detecting stress levels of rice under heavy metal contamination may be a significance contributing to precision agriculture. ▸ Compared with REP in identifying the stress levels of crop under heavy metal, FDWT (fractal dimension of reflectance with wavelet transform) spectral parameter that explored in our manuscript was more sensitive to stress levels of rice under heavy metal with higher R 2 against biochemical composition. Ausführliche Beschreibung