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Disease detection in sugar beet fields: a multi-temporal and multi- sensoral approach on different scales

机译:甜菜田中的疾病检测:不同规模的多时间多感官方法

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Depending on environmental factors fungal diseases of crops are often distributed heterogeneously in fields. Precision agriculture in plant protection implies a targeted fungicide application adjusted these field heterogeneities. Therefore an understanding of the spatial and temporal occurrence of pathogens is elementary. As shown in previous studies, remote sensing techniques can be used to detect and observe spectral anomalies in the field. In 2008, a sugar beet field site was observed at different growth stages of the crop using different remote sensing techniques. The experimental field site consisted of two treatments. One plot was sprayed with a fungicide to avoid fungal infections. In order to obtain sugar beet plants infected with foliar diseases the other plot was not sprayed. Remote sensing data were acquired from the high-resolution airborne hyperspectral imaging ROSIS in July 2008 at sugar beet growth stage 39 and from the HyMap sensor systems in August 2008 at sugar beet growth stage 45, respectively. Additionally hyperspectral signatures of diseased and non-diseased sugar beet plants were measured with a non-imaging hand held spectroradiometer at growth stage 49 in September. Ground truth data, in particular disease severity were collected at 50 sampling points in the field. Changes of reflection rates were related to disease severity increasing with time. Erysiphe betae causing powdery mildew was the most frequent leaf pathogen. A classification of healthy and diseased sugar beets in the field was possible by using hyperspectral vegetation indices calculated from canopy reflectance.
机译:取决于环境因素,农作物真菌病害通常在田间异质分布。植保方面的精确农业意味着针对性杀真菌剂的应用可以调整这些田间的异质性。因此,了解病原体的时空分布是基本的。如先前的研究所示,遥感技术可用于检测和观察现场的光谱异常。在2008年,使用不同的遥感技术在农作物的不同生长阶段观察到一个甜菜田地。实验现场包括两种处理。一个地块喷洒了杀菌剂,以避免真菌感染。为了获得感染了叶病的甜菜植株,不喷其他地块。遥感数据分别从2008年7月甜菜生长期39的高分辨率机载高光谱成像ROSIS和2008年8月甜菜生长期45的HyMap传感器系统获取。另外,在9月的生长阶段49,用非成像手持式光谱仪测量了病态和非病态甜菜植物的高光谱特征。在现场收集了50个采样点的地面真相数据,特别是疾病严重性。反射率的变化与疾病严重程度随时间增加有关。引起白粉病的小白菜是最常见的叶子病原体。通过使用根据冠层反射率计算的高光谱植被指数,可以对田间健康和患病的甜菜进行分类。

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