| 基于双波段作物长势分析仪的东北水稻长势监测 |
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| 引用本文： | 李修华,李民赞,崔 笛,苗宇新.基于双波段作物长势分析仪的东北水稻长势监测[J].农业工程学报,2011,27(8):206-210. |
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| 作者姓名： | 李修华 李民赞 崔 笛 苗宇新 |
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| 作者单位： | 1. 中国农业大学现代精细农业系统集成研究教育部重点实验室,北京100083;
2. 中国农业大学资源与环境学院,北京,100083 |
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| 基金项目： | 国家自然科学基金项目（U0931001）和（31071330）联合资助 |
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| 摘 要： | 为了实现水稻精细栽培和变量管理的目的，利用独立开发的双波段作物长势分析仪，进行了水稻生长监测的试验与分析。传感器分别在610与1220 nm处测量太阳光与作物冠层反射光的强度，进而计算光谱反射率。利用双波段作物长势分析仪于2008年在黑龙江省农垦总局建三江分局2处水稻试验田，在分蘖期与抽穗早期进行了氮肥胁迫试验，结果表明水稻叶片氮浓度及生物质干质量与RVI、NDVI都具有很高的相关性，但与NDVI的相关性比与RVI的更高。分蘖期的测量结果表明，NDVI与施肥量的相关性非常显著，R2大于0.94。但NDVI并不与施肥量成线性相关，过量的施氮量反而会引起NDVI值的降低。分蘖期、抽穗早期的NDVI值都与最终产量有着显著的相关，其中抽穗早期的NDVI与产量的决定系数（R2）达到了0.96。分析结果显示利用双波段作物长势分析仪监测水稻冠层，可达到控制投入和提高产量的目的，为水稻的精细栽培提供理论与技术支持。
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| 关 键 词： | 监测，氮肥，作物，RVI，NDVI，氮肥胁迫，长势 |
| 收稿时间： | 2010/12/22 0:00:00 |
| 修稿时间： | 2010/6/23 0:00:00 |
Monitoring of rice plant growth in Northeast China using dual-wavebands crop growth analyzer |
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| Li Xiuhu,Li Minzan,Cui Di and Miao Yuxin.Monitoring of rice plant growth in Northeast China using dual-wavebands crop growth analyzer[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(8):206-210. |
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| Authors: | Li Xiuhu Li Minzan Cui Di and Miao Yuxin |
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| Abstract: | In order to realize precision management on rice crop, field experiments and analyses on crop growth monitoring in rice fields were conducted with a prototype dual-wavebands crop growth analyzer developed before. The incident sunlight and reflective light from crop canopy were measured at the wavebands of 610 and 1220 nm respectively, and then the canopy reflectance and some vegetative indices were calculated. The nitrogen stress experiments were conducted in the two experimental paddy fields in northeast China at the tillering and heading stages of rice plant. Results showed that the leaf nitrogen concentration and dry biomass had good correlations with both RVI and NDVI, and had higher correlations with NDVI than with RVI. During the tillering stage, the average NDVI had a significant correlation with fertilizer amount (R2=0.94) and the nonlinear relationship indicated over-fertilization could decrease NDVI. The average NDVI at both the tillering and heading stages were significantly correlated with the average yield, and the R2 at heading stage reached to 0.96. The study showed this analyzer has great potential in controlling income, increasing yield and providing theory and technology support for rice variable management. |
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| Keywords: | monitoring nitrogen crops RVI NDVI nitrogen stress growth status |
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