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首页> 外文期刊>Plant Disease >Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography
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Detecting Wheat Powdery Mildew and Predicting Grain Yield Using Unmanned Aerial Photography

机译：使用无人机摄影检测小麦粉末状霉菌和预测谷物产量

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摘要

High-resolution aerial imaging with an unmanned aerial vehicle (UAV) was used to quantify wheat powdery mildew and estimate grain yield. Aerial digital images were acquired at Feekes growth stage (GS) 10.5.4 from flight altitudes of 200, 300, and 400m during the 2009-10 and 2010-11 seasons; and 50, 100, 200, and 300 m during the 2011-12, 2012-13, and 2013-14 seasons. The image parameter IgR was consistently correlated positively with wheat powdery mildew severity and negatively with wheat grain yield for all combinations of flight altitude and year. Fitting the data with random coefficient regression modelsshowed that the exact relationship of IgR with disease severity and grain yield varied considerably from year to year and to a lesser extent with flight altitude within the same year. The present results raise an important question about the consistencyof using remote imaging information to estimate disease severity and grain yield. Further research is needed to understand the nature of interyear variability in the relationship of remote imaging data with disease or grain yield. Only then can we determine how the remote imaging tool can be used in commercial agriculture.
机译：使用无人驾驶飞行器（UAV）的高分辨率空中成像用于量化小麦粉状霉菌和估计谷物产量。在2009-10和2010-11赛季期间，在Feekes生长阶段（GS）增长阶段（GS）10.5.4获得了空中数字图像。在2011-12,2012-13和2013-14赛季期间50,100,200和300米。图像参数IGR与小麦粉状霉菌严重程度持续相关，以及对所有飞行高度和年份的所有组合的小麦籽粒产量负相关。用随机系数回归拟合数据型号，IGR与疾病严重程度和谷物产量的确切关系相比从一年到年份变化，同一年内的飞行高度较小。目前的结果提高了关于使用远程成像信息的一致性来估计疾病严重程度和谷物产量的重要问题。需要进一步的研究来了解疾病或谷物产量的远程成像数据关系中的互变性变异性的性质。只有这样，我们才能确定遥控器工具如何用于商业农业。

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  • 来源
    《Plant Disease》 |2018年第10期|共8页
  • 作者

    Wei Liu; Xueren Cao; Jieru Fan; Zhenhua Wang; Zhengyuan Yan; Yong Luo; Jonathan S. West; Xiangming Xu; Yilin Zhou;

  • 作者单位

    State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China;

    Key Laboratory of Integrated Pest Management on Tropical Crops Ministry of Agriculture Environment and Plant Protection Institute Chinese Academy of Tropical Agricultural Sciences Haikou 571101 China;

    State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China;

    State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China;

    State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China;

    Department of Plant Pathology China Agricultural University Beijing 100193 China;

    Rothamsted Research Harpenden AL5 2JQ UK;

    NIAB EMR New Road East Mailing Kent ME19 6BJ UK;

    State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 植物保护;
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