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Utility of Hyperspectral Data for Potato Late Blight Disease Detection

机译:高光谱数据在马铃薯晚疫病检测中的应用

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The study was carried out to investigate the utility of hyperspectral reflectance data for potato late blight disease detection. The hyperspectral data was collected for potato crop at different level of disease infestation using hand-held spectroradiometer over the spectral range of 325–1075 nm. The data was averaged into 10-nm wide wavebands, resulting in 75 narrowbands. The reflectance curve was partitioned into five regions, viz. 400–500 nm, 520–590 nm, 620–680 nm, 770–860 nm and 920–1050 nm. The notable differences in healthy and diseased potato plants were noticed in 770–860 nm and 920–1050 nm range. Vegetation indices, namely NDVI, SR, SAVI and red edge were calculated using reflectance values. The differences between the vegetation indices for plants at different levels of disease infestation were found highly significant. The optimal hyperspectral wavebands to discriminate the healthy plants from disease infested plants were 540, 610, 620, 700, 710, 730, 780 and 1040 nm whereas upto 25% infestation could be discriminated using reflectance at 710, 720 and 750 nm.
机译:这项研究旨在调查高光谱反射率数据在马铃薯晚疫病检测中的应用。使用手持式分光光度计在325-1075 nm的光谱范围内,收集了不同疾病侵染水平下马铃薯作物的高光谱数据。将数据平均为10纳米宽的波段,从而得到75个窄带。将反射率曲线划分为五个区域。 400-500 nm,520-590 nm,620-680 nm,770-860 nm和920-1050 nm。健康和患病马铃薯植株在770–860 nm和920–1050 nm范围内存在显着差异。使用反射率值计算植被指数,即NDVI,SR,SAVI和红边。发现在不同病害水平下植物的植被指数之间的差异非常显着。区分健康植物和受疾病侵染的植物的最佳高光谱波段是540、610、620、700、710、730、780和1040 nm,而使用710、720和750 nm的反射率可以区分高达25%的侵染。

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