首页> 外文期刊>Computers and Electronics in Agriculture >Canopy height measurement by photogrammetric analysis of aerial images: application to buckwheat (Fagopyrum esculentum moench) lodging evaluation.
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Canopy height measurement by photogrammetric analysis of aerial images: application to buckwheat (Fagopyrum esculentum moench) lodging evaluation.

机译:通过航拍图的摄影测量分析测量冠层高度:在荞麦(Fagopyrum esculentum moench)倒伏评估中的应用。

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Lodging is one of the major factors contributing to crop yield and quality reduction. However, the current method for lodging rate evaluation (visual rating) lacks quantitativeness, objectivity, and precision. We have designed a low-cost, simple photogrammetric method to circumvent this problem. The efficiency of the method was evaluated in a field cultivated with a lodging-resistant variety and a standard variety of buckwheat (Fagopyrum esculentum Moench). Aerial images of the plant were acquired with a compact digital camera hung under a small balloon (2.2 m in length, 0.56 m3 in volume) from a height of 50-150 m. Canopy height was calculated from the aerial stereo images with photogrammetric software. The photogrammetric analysis showed that digital canopy height data compared well with ground truth data at the flowering and seed-setting stages but were underestimated at the harvesting stage. The underestimation was probably caused by the change of plant structure due to flowers and leaves withering at harvest. Digital canopy height data revealed that the lower the sowing density, the less the lodging in the standard variety. This result would not be obtained by conventional visual rating and is essential for the development of cultivation technologies to reduce buckwheat lodging. The designed photogrammetric method can effectively estimate canopy height over a wide area and analyze lodging rate quantitatively. It would also have applications in other areas, e.g., the evaluation of damage by hail, the estimation of diseased areas, and assessment for agricultural insurance application.
机译:寄宿是造成作物产量和质量下降的主要因素之一。但是,当前的住宿率评估(视觉评级)方法缺乏定量性,客观性和准确性。我们设计了一种低成本,简单的摄影测量方法来解决此问题。在抗倒伏品种和荞麦标准品种(Fagopyrum esculentum Moench)栽培的田地中评估了该方法的效率。用悬挂在小气球(长2.2 m,体积0.56 m 3 )下的小型数码相机从50-150 m的高度获取植物的航空影像。冠层高度是使用摄影测量软件从航拍立体图像计算得出的。摄影测量分析表明,数字树冠高度数据在开花和结实阶段与地面真实数据相比具有很好的对比,但在收获阶段却被低估了。低估可能是由于收获时花朵和叶子枯萎引起的植物结构变化引起的。数字冠层高度数据显示,播种密度越低,标准品种的倒伏就越少。该结果不能通过常规的目视评定获得,并且对于减少荞麦倒伏的栽培技术的发展是必不可少的。设计的摄影测量方法可以有效地估计大面积的冠层高度并定量分析倒伏率。它还将在其他领域中应用,例如,冰雹破坏的评估,患病区域的估计以及农业保险应用的评估。

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