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Research progress on agronomic parameter estimation based on spectral analysis technology

机译:基于谱分析技术的农学参数估计研究进展

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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:基于光谱分析技术的农艺参数估算可以获取作物的生长和营养信息,是精准农业发展的有效技术保障。在介绍农作物光谱理论的基础上,从机理模型,经验和机理组合模型,经验模型三个部分,详细论述了利用光谱分析技术进行农艺参数估计的研究进展,并指出了各种模型的特点。 。今后,应加强叶片内部水平和光滑度的模型优化,并增加农作物的种类和收集的数据量,以扩大模型的适用性,提高农艺参数的预测精度。 。

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