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Research progress on agronomic parameter estimation based on spectral analysis technology

机译:基于光谱分析技术的农艺参数估计研究进展

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Based on the spectral analysis technology, agronomic parameter estimation which can obtain information on crop growth and nutrition, is efficient technology guarantee for the development of precision agriculture. On the basis of introducing the crop spectral theory, from mechanism model, experience and mechanism combination model, empirical model three parts, the research progress on agronomic parameter estimation by spectral analysis technology was discussed in detail, and the characteristics of various models were pointed out. In future, model optimization on the internal level and level of smoothness of leaves should be strengthened, and the range of crops and the amount of data collected also should be increased, to expand the applicability of the model and improve the prediction accuracy of agronomic parameter.
机译:基于光谱分析技术,农艺参数估计,可以获得作物生长和营养信息,是对精密农业发展的有效技术保障。在介绍作物谱理论的基础上,从机制模型,经验和机制组合模型,经验模型三个部分,详细讨论了谱分析技术的农艺参数估计研究进展,指出了各种模型的特征。在将来,应加强模型优化叶片的内部水平和平滑度水平,以及收集的作物范围和收集的数据量,以扩大模型的适用性,提高农艺参数的预测准确性。

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