Nondestructive Estimation of Nitrogen Status and Vegetation Index of Oilseed Rape Canopy Using Multi-Spectral Imaging Technology
Rapid and non-destructive estimation of nitrogen content and vegetation index of crop is a potentially important application for both farm managers and researchers. A multi-spectral imaging sensor with three channels (Green, Red, Near-infrared) was used to estimate the nitrogen level and vege-tation index of the oilseed rape canopy. The relationship between SPAD and nitrogen content was developed using a linear regression, and the correlation coefficient was 0.862, which meant that the SPAD values could be represent for the nitrogen content of oilseed rape. The linear models were developed between grey scale and reflectance value using a reference reflectance panel, and the regression coefficient was 0.9962 in Green channel. The SPAD values correlated with vegeta-tion index was also studied, including normalized differential vegetation index (NDVI), NDVI (Green) and Ratio of near-infrared to green. The prediction correlation coefficients were 0.9415, 0.9362, and 0.9163 for SPAD-NDVI, SPAD-NDVI (Green), and SPAD-Ratio, respectively. The results indi-cated that the nitrogen content of oilseed rape canopy was successfully estimated by the vegetation index obtained by a multi-spectral sensor. This result also supplied a new approach for the on field monitoring of the growing status of oilseed rape.
Multi-Spectral Imaging Oilseed Rape Nitrogen Content Vegetation Index
Fei Liu Wenwen Kong Yong He
College ofBiosystems Engineering and Food Science, Zhejiang University, 268 Kaixuan Road,Hangzhou 310029, P. R. China
国际会议
南昌
英文
1126-1132
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）