首页> 外文期刊>European Journal of Agronomy >Use of digital photography from unmanned aerial vehicles for estimation of leaf area index in onion (Allium cepa L.).
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Use of digital photography from unmanned aerial vehicles for estimation of leaf area index in onion (Allium cepa L.).

机译:利用无人机拍摄的数码照片估算洋葱的叶面积指数(葱属)。

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Canopy cover and structure, which have considerable effects on the interaction between vegetation and the environment, especially in the case of crops, can be represented by a few parameters, which are based on the calculation of different vegetation indexes. One of the most common indexes in agronomy is the leaf area index, which is a parameter associated with agronomic, biologic, environmental, and physiologic processes. The aim of this study is to evaluate a non-destructive method to measure canopy cover in an onion crop by means of aerial digital photography from unmanned aerial vehicles, and to determine the relationship with leaf area index obtained by using an automated infrared imaging system. The field experiment was conducted in a 4.75 ha commercial onion plot irrigated with a centre pivot system during the 2010 irrigation season. To determine the leaf area in the laboratory during crop development, data were sampled on three. At each sampling event, eight experimental plots of 1 m2 were used. In each one of them, aerials photographies were taken by using a vertical take-off and landing quadracopter aircraft. Software for leaf area index calculation was developed to obtain canopy cover. Three models have been used to analyze the relationship between leaf area index and canopy cover. According to this, the model which best fits the relationship between leaf area index and canopy cover is the linear model. The relationship between both parameters was closer in the first stages than in more advanced stages.Digital Object Identifier http://dx.doi.org/10.1016/j.eja.2012.11.001
机译:冠层的覆盖和结构对植被与环境之间的相互作用有很大影响,尤其是对于农作物而言,可以通过一些参数来表示,这些参数基于不同植被指数的计算。叶面积指数是农学中最常见的指标之一,叶面积指数是与农艺,生物,环境和生理过程相关的参数。这项研究的目的是评估一种无损测量方法,该方法通过无人驾驶飞机的空中数字摄影技术测量洋葱作物的冠层覆盖率,并确定与使用自动红外成像系统获得的叶面积指数的关系。在2010年灌溉季节期间,在使用中心枢轴系统灌溉的4.75公顷商业洋葱田上进行了田间试验。为了确定作物生长过程中实验室的叶片面积,对三个样品进行了数据采样。在每个采样事件中,使用8个1 m 2 的实验图。在每架飞机中,都是使用垂直起降四旋翼飞机拍摄的航拍照片。开发了用于叶面积指数计算的软件以获取树冠覆盖。已经使用三种模型来分析叶面积指数和冠层覆盖之间的关系。据此,最适合叶面积指数与冠层覆盖之间关系的模型是线性模型。与高级阶段相比,第一阶段这两个参数之间的关系更加紧密。数字对象标识符http://dx.doi.org/10.1016/j.eja.2012.11.001

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