论文标题
高光谱成像以检测葡萄叶的年龄，缺陷和个体营养缺乏症
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
论文作者
论文摘要
高光谱（HS）成像成功地用于380 nm至1000 nm波长范围，以研究检测年龄，健康状况和个人营养缺乏的葡萄树叶的疗效，从位于澳大利亚西部新南威尔士州中部中部的葡萄园收集的葡萄树叶。为了获得年龄的检测，已经检查了许多健康葡萄叶的出现。然后将视觉缺陷的叶子与健康的叶子进行比较。还分析了对照叶子和单个营养缺乏的叶子（例如N，K和Mg）。在紫外线（UV），可见（VIS）和近红外（NIR）区域的各个阶段采用了几个特征来评估实验数据：平均亮度，平均1个衍生亮度，变异指数，平均光谱比，归一化差异植被指数（NDVI）和标准偏差（SD）。实验结果表明，这些特征可以具有很高的有效性来比较年龄，识别不健康的样本，而不仅仅是与控制和营养缺乏症区分开来，还可以识别单个营养缺陷。因此，我们的工作证实了HS成像具有无损和非接触式方法的巨大潜力，可检测葡萄叶的年龄，健康和个体营养缺乏症
Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient deficiency of grapevine leaves collected from vineyards located in central west NSW, Australia. For age detection, the appearance of many healthy grapevine leaves has been examined. Then visually defective leaves were compared with healthy leaves. Control leaves and individual nutrient-deficient leaves (e.g. N, K and Mg) were also analysed. Several features were employed at various stages in the Ultraviolet (UV), Visible (VIS) and Near Infrared (NIR) regions to evaluate the experimental data: mean brightness, mean 1st derivative brightness, variation index, mean spectral ratio, normalised difference vegetation index (NDVI) and standard deviation (SD). Experiment results demonstrate that these features could be utilised with a high degree of effectiveness to compare age, identify unhealthy samples and not only to distinguish from control and nutrient deficiency but also to identify individual nutrient defects. Therefore, our work corroborated that HS imaging has excellent potential as a non-destructive as well as a non-contact method to detect age, healthiness and individual nutrient deficiencies of grapevine leaves
