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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >WHEAT GRAIN QUALITY FORECASTING BY CANOPY REFLECTED SPECTRUM
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WHEAT GRAIN QUALITY FORECASTING BY CANOPY REFLECTED SPECTRUM

机译：冠层反射光谱法预测小麦籽粒品质

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摘要

Advanced site-specific determination of grain protein content by remote sensing can provide opportunities to optimize the strategies for purchasing and pricing grain, and to maximize the grain output by adjusting field inputs. Field experiments were performed to study the relationship between grain quality indicators and foliar nitrogen concentration. Foliar nitrogen concentration at the anthesis stage is suggested to be significantly correlated with grain protein content, while spectral vegetation index is significantly correlated to foliar nitrogen concentration around the anthesis stage. Based on the relationships among nitrogen reflectance index (NRI), foliar nitrogen concentration, and grain protein content, a statistical evaluation model of grain protein content was developed. NRI proved to be able to evaluate foliar nitrogen concentration with a coefficient of determination of R~2 = 0.7302 in year 2002. The relationship between measured and remote sensing derived foliar nitrogen concentration had a coefficient of determination of R~2 = 0.7279 in year 2003. The results mentioned above indicate that the inversion of foliar nitrogen concentration and the evaluation of grain protein content by NRI are surprisingly good.
机译：通过遥感对谷物蛋白含量进行现场特定确定，可以提供机会优化谷物的购买和定价策略，并通过调整田间投入来最大化谷物产量。进行了田间试验以研究谷物品质指标与叶面氮浓度之间的关系。花期阶段的叶面氮浓度与籽粒蛋白质含量显着相关，而光谱植被指数与花期阶段的叶面氮浓度显着相关。基于氮素反射率指数（NRI），叶片氮含量和籽粒蛋白质含量之间的关系，建立了籽粒蛋白质含量的统计评价模型。 NRI证明能够在2002年以R〜2 = 0.7302的测定系数来评估叶面氮浓度。在2003年，实测遥感数据与叶面氮浓度之间的关系具有R〜2 = 0.7279的测定系数。上述结果表明，叶氮浓度的反演和用NRI评估谷物蛋白质含量都出乎意料的好。

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