Applying spectral fractal dimension index to predict the SPAD value of rice leaves under bacterial blight disease stress.

ABSTRACT:

Background

The chlorophyll content is a vital indicator for reflecting the photosynthesis ability of plants and it plays a significant role in monitoring the general health of plants. Since the chlorophyll content and the soil-plant analysis development (SPAD) value are positively correlated, it is feasible to predict the SPAD value by calculating the vegetation indices (VIs) through hyperspectral images, thereby evaluating the severity of plant diseases. However, current indices simply adopt few wavelengths of the hyperspectral information, which may decrease the prediction accuracy. Besides, few researches explored the applicability of VIs over rice under the bacterial blight disease stress.

Methods

In this study, the SPAD value was predicted by calculating the spectral fr

SUBMITTER: Cao Y 

PROVIDER: S-EPMC9118648 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature