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机构地区:[1]东北农业大学电气与信息学院,哈尔滨150030
出 处:《农机化研究》2015年第8期162-165,共4页Journal of Agricultural Mechanization Research
基 金:国家"863计划"项目(AA2013102303);黑龙江省博士后启动基金项目(LBH-Q13022)
摘 要:氮素是水稻生长发育的一种大量必需元素,需及时准确地监控水稻的氮营养状况。水稻的合理施肥对增产、优化品质、降低水污染具有重要意义。水稻营养状况遥感诊断技术具有简单、无损、快速等特点而得到各国专家的广泛研究和应用。本实验以方正水稻阳光4号品种为例,通过大田实验,利用高光谱遥感技术,采集6个施氮水平的水稻冠层水稻冠层图像,测定水稻冠层光谱反射率。结果表明:水稻冠层反射率与不同氮素含量有明显的相关性,从曲线图中可以定性区分出严重缺氮、正常施氮及过量施氮。下一步将结合光谱曲线找出诊断水稻氮素营养水平的敏感波段,为日后水稻冠层氮素营养诊断模型奠定基础。Nitrogen is an essential element of a lot of rice growth, timely and accurate monitoring of nitrogen nutrition of rice, rice rational fertilization on yield, optimizing quality and reduce water pollution is important.Rice nutritional status of remote sensing diagnostic technique has a simple, non-destructive, rapidly and other characteristics have been widely studied and applied national experts.In this experiment, the sun on the 4th Founder varieties of rice, for example, through field experiments,, using hyperspectral remote sensing technology, collecting six nitrogen levels in rice canopy rice canopy image,measured the spectral reflectance of rice canopy,the results show:rice canopy reflectance with different nitrogen content had a significant correlation can be qualitatively from the graph roughly distinguish severe nitrogen defi-ciency, normal nitrogen fertilizer, excessive nitrogen fertilization.Next step is to find a combination of the spectral curve of nitrogen nutrition diagnosis Rice sensitive bands, provide the basis for future rice canopy nitrogen diagnostic model.
分 类 号:S123[农业科学—农业基础科学]
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