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Detection of LAI for fruiter based on hemispherical photography

机译：基于半球摄影的果树LAI检测

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摘要

To solve the error from data acquisition to data processing in the traditional method and improve the standards in the method of operation,a hemisphere photography detecting system for shooting single fruiters from different positions by using fisheye lens was designed.The images were processed to obtain the LAI measuring value which would be validated with the true value,in order to study the influencing factors of the measurement of LAI.The results showed that fisheye lens shooting in different directions,offsets,and heights and using different software processing methods influenced the measurement of LAI.The optimal parameters were as follows:filming direction from the fruit tree of the east,distance between the fisheye lens and the citrus tree tnmk of 25 cm,height from the ground of 89 em.LAI4R was used,the Zenith Angle was 60,the areas irrelevant to the canopy was covered by using software mask function.With the above conditions,the coefficient of determination R2 of the linear regression model was 0.8268.The average absolute error and the average relative error between the measured value and the true value was 0.31％ and 14.19％,respectively.This study provides a reference for the detection of the LAI of single fruiters.%为解决传统方法中从数据获取到数据处理出现的误差,进一步改善操作方法,该文设计了一种半球摄影法检测系统,使用鱼眼镜头在不同位置下拍摄单棵果树.对拍摄的图像进行处理,并对叶面积指数测量值和真实值进行验证对比,研究影响测量叶面积指数的因素.研究结果表明:鱼眼镜头在不同方位、不同偏移、不同高度下拍摄,以及不同软件处理方法都会对叶面积指数的测量产生影响.最优化的参数组合为:选择果树东方位拍摄,鱼眼镜头距离柑橘树主干25 cm,距离地面高度89 cm;在软件处理分析时,应取LAI4R,天顶角设为60°,同时采用软件遮罩功能对与冠层无关的区域进行屏蔽.在上述方法操作下,系统线性回归模型的决定系数R2为0.8268,测量值与真实值的平均绝对误差为0.31,平均相对误差为14.19％.该方法可为单棵果树叶面积指数的检测提供研究基础.
机译：为解决传统方法从数据采集到数据处理的误差，提高了操作方法的标准，设计了一种半球摄影检测系统，该系统利用鱼眼镜头从不同位置拍摄单个水果，并对图像进行处理以获得为了验证影响LAI测量的因素，将LAI测量值与真实值进行验证。结果表明，鱼眼镜头在不同方向，偏移和高度上的拍摄以及使用不同的软件处理方法都会影响到LAI的测量。最佳参数为：从东侧果树成膜方向，鱼眼镜头与柑桔树tnmk的距离为25 cm，离地面高度为89 em。使用LAI4R，天顶角为60使用软件遮罩功能覆盖了与树冠无关的区域。在上述条件下，线性回归的确定系数R2回归模型为0.8268。测量值与真实值之间的平均绝对误差和平均相对误差分别为0.31％和14.19％。本研究为检测单果的LAI提供了参考。方法中从数据获取到数据处理出现的误差，进一步改善操作方法，该文设计了一种半球摄影法检测系统，使用鱼眼镜头在不同位置下拍摄单棵果树。对拍摄的图像进行处理，并对叶面积指数测量值和真实值进行验证对比，研究影响测量叶面积指数的因素。研究结果表明：鱼眼镜头在不同方向，不同偏移，不同高度下拍摄，以及不同软件处理方法都会对叶面积指数的测量值产生的影响。最优化的参数组合为：选择果树东方位置拍摄，鱼眼镜头距离桔树主干25 cm，距离地面高度89 cm；在软件处理分析时，应取LAI4R，天顶角设为60°，同时采用软件遮罩功能对与冠层无关的区域进行屏蔽。在上述方法操作下，系统线性回归模型的决定系数R2为0.8268，测量值与真实值的平均绝对误差为0.31，平均相对误差为14.19％。该方法可为单棵果树叶面积指数的检测提供研究基础。

著录项

  • 来源
  • 会议地点 Qingdao(CN)
  • 作者

    Zhang Lijun; Hong Tiansheng; Wu Weibin; Joseph Mwape Chileshe; Feng Zhuofeng; Zhao Ben; Xu Ling;

  • 作者单位

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, Guangzhou 510642, China;

    Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, Guangzhou 510642, China;

    Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, Guangzhou 510642, China;

    Division of Citrus Machinery, China Agriculture Research System, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

    College of Engineering, South China Agricultural University, Guangzhou 510642, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业生产作业机械化工艺组织;
  • 关键词

    Fruits; image processing; photography; LAI; parameter combination果树; 图像处理; 摄影法; 叶面积指数; 参数组合;

    机译：Fruits;image processing;photography;LAI;parameter combination%果树;图像处理;摄影法;叶面积指数;参数组合;

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