中国糖料2024，Vol.46Issue(2)：49-56,8.DOI:10.13570/j.cnki.scc.2024.02.007
基于无人机甜菜叶片氮素积累量的反演
Inversion of Nitrogen Accumulation in Sugar Beet Leaves Based on UAV Multispectral
摘要
Abstract
[Objective]To investigate the correlation between nitrogen accumulation(LNA)and vegetation index of sugar beet at different sowing dates,and to provide theoretical basis for precise fertilization and scientific management in the later stage,[Methods]In this experiment,eight sowing dates(March 27,April 6,April 16,April 26,May 6,May 16,May 26,June 5)were set up,and multispectral remote sensing images of sugar beet and field measurements of canopy nitrogen accumulation(LNA)data were obtained using DJI Elf 4 multispectral UAV.Green Normalized Vegetation Index(GNDVI),Normalized Difference Red Edge Index(NDRE),Leaf Chlorophyll Index(LCI)and Optimized Soil Adjusted Vegetation Index(OSAVI)were obtained by data calculation.The inverse model of nitrogen accumulation(LNA)was established by monitoring the growth status of sugar beet at different sowing stages using unmanned aerial photography.[Results]The results showed that the leaf nitrogen accumulation increased significantly with the increase of the growth period,and gradually decreased with the delay of the sowing dates,with the highest leaf nitrogen accumulation on April 6.The field measured LNA was fitted with five vegetation indices respectively,and the coefficient of determination(R2)was above 0.7,among which NDRE had the best fitting effect,with the coefficient of determination(R2)of 0.885,root mean square error(RMSE)of 4.54 and standard root mean square error(NRMSE)of 8.22%,demonstrating a good prediction effect.[Conclusion]It demonstrates that UAV remote sensing technology has high feasibility in the prediction of LNA in sugar beet,which provides an important theoretical basis for exploring reasonable sowing date,precise fertilizer application and increasing yield and income.关键词
甜菜/无人机遥感/多光谱/氮素/植被指数Key words
sugar beet/UAV remote sensing/multispectral/nitrogen/vegetation index分类
农业科技引用本文复制引用
吴啟贤,汪旭,刘智鑫,邓裕帅,耿贵..基于无人机甜菜叶片氮素积累量的反演[J].中国糖料,2024,46(2):49-56,8.基金项目
财政部和农业农村部国家现代农业产业技术体系(糖料)建设项目"甜菜种植制度"(CARS-170209) （糖料）
国家自然科学基金项目(32272148)资助. （32272148）
