多光谱遥感在马铃薯品种抗早疫病鉴定中的监测效果

Monitoring Effect of Multispectral Remote Sensing in Identification of Potato Varieties Resistance to Early Blight

基于多光谱遥感技术,通过无人机平台搭载多光谱相机PARROT SEQUOIA,对马铃薯试验田进行低空扫描,鉴定马铃薯品种(系)在病害胁迫下的生长情况。对人工调查得到的21个马铃薯品种(系)早疫病病情指数和扫描分析得到的NDVI数据进行相关性分析。结果显示,NDVI数值与病情指数呈极显著负相关,相关系数为-0.973。线性回归分析中的决定系数(R^(2)值)为0.947。由此确定,多光谱遥感技术可以应用于马铃薯品种(系)对早疫病的抗性鉴定,提高调查效率。

Based on multi-spectral remote sensing technology,this study scaned potato experimental field at low altitude using multi-spectral camera PARROT SEQUOIA on UAV platform;and identified the growth situation of potato varieties(lines)under disease stress.This study also conducted correlation analysis both on the early blight disease index of 21 varieties(lines)obtained by manual investigation,and NDVI data gained by scanning analysis.The results showed that NDVI data had extrem significant negative correlation with disease index,and the correlation coefficient was-0.973.The coefficient of determination(R^(2) value)in the linear regression analysis was 0.947.Therefore,it is confirmed that multispectral remote sensing technology can be applied to identify potato varieties(lines)resistance to early blight;and also improve the investigation efficiency.