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Estimation of Density and Height of Winter Wheat Varieties Using Unmanned Aerial Vehicles Images

文献类型： 外文期刊

作者： Zang, Hecang 1 ; Wang, Yanjing 4 ; Yang, Xiuzhong 1 ; He, Jia 1 ; Zhou, Meng 1 ; Zheng, Guoqing 1 ; Li, Guoqiang 1 ;

作者机构： 1.Henan Acad Agr Sci, Inst Agr Econ & Informat, Zhengzhou 450002, Peoples R China

2.Henan Engn & Technol Res Ctr Intelligent Agr, Zhengzhou 450002, Peoples R China

3.Henan Technol Innovat Strateg Alliance Intelligenc, Zhengzhou 450002, Peoples R China

4.Zhengzhou Normal Univ, Sch Life Sci, Zhengzhou 450002, Peoples R China

关键词： Unmanned Aerial Vehicle; New Wheat Varieties; Coverage; Plant Density; Plant Height

期刊名称：JOURNAL OF BIOBASED MATERIALS AND BIOENERGY （ 影响因子：0.5； 五年影响因子：0.5 ）

ISSN： 1556-6560

年卷期： 2022 年 16 卷 6 期

页码：

收录情况： SCI

摘要： In order to quickly and accurately obtain density and height information of winter wheat varieties, it is of great practical significance for the growth monitoring of new wheat varieties. In actual produc-tion, the plant density and height are mainly obtained by manual measurement, which is inefficient, time-consuming and laborious. Therefore, the winter wheat were extracted coverage based on unmanned aerial vehicles (UAV) images at seedling stage, the relationship between coverage and plant density were investigated. Moreover, the high-definition digital images of winter wheat vari-eties at 4 growth stages including jointing, booting, flowering and grain filling stages were obtained. The digital orthophoto model (DOM) and digital surface model (DSM) of winter wheat varieties was generated in combination with the ground control points. The estimation model of plant height at the four growing stages were established. Based on the ground measured plant height (H) of new wheat varieties, the plant height of new wheat varieties extracted by DSM was verified. The results IP: 203.8.109.10 On: Wed, 01 Mar 2023 12:55:18 showed that the coverage ofnewCopyrigt:wheatAmericanvarieties extractedScientificfromthePublishersUAV images at seedling stage was highly correlated with the measured plant density, and he coefficient of determination (R2) was Delivered by Ingenta 0.82. The new wheat varieties H extracted by DSM was significantly correlated with the measured H, and the fitted R2 and root mean square error (RMSE) of the predicted plant height and the measured value were 0.96 and 6.32 cm, respectively. It indicated that the use of UAV images to predict the plant density and plant height of new wheat varieties has good applicability, and can provide technical reference for the monitoring of wheat phenotypic information in the future.

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