Measurement of Rice Leaf Chlorophyll and Seed Nitrogen Contents by Using Multi-Spectral Imagine

To determine rice leaf chlorophyll and seed nitrogen contents,a multi-spectral sensor which assesses the biochemical content of rice by means of gray values sensed using three channels (green,red,near-infrared) of the multi-spectral camera was used. The results showed that there were extremely significant correlations between the chlorophyll a content,chlorophyll b content in leaves and the gray values of green channel,near-infrared channel respectively and significant correlation between the chlorophyll (a+b) content in leaves and the gray values of green channel,near-infrared channel. Similarly,there was a significant correlation between the seed nitrogen content and the gray values of green channel,near-infrared channel and normalized difference vegetation index. Moreover,regression equations between gray values of multi-spectral imagine and leaf chlorophyll content or seed nitrogen content were verified with 21 samples and the relative error of 7 models ranged from 9.36% to 15.7%. Thus,the rapid,accurate and non-destructive estimations of leaf chlorophyll and seed nitrogen contents were realized.