高光谱成像技术检测葡萄叶片的年龄、缺陷和个体营养缺乏
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
摘要：
高光谱（HS）成像成功地采用在380 nm至1000 nm的波长范围内，调查的葡萄叶片的年龄，健康和个人的营养缺乏症的检测效率，从位于澳大利亚新南威尔士州中西部的葡萄园收集。对于年龄检测，已经检查了许多健康葡萄藤叶子的外观。然后将视觉上有缺陷的叶子与健康叶子进行比较。还分析了对照叶和个别营养素缺乏的叶（例如N、K和Mg）。在不同阶段的紫外线（UV），可见光（VIS）和近红外（NIR）区域的几个功能进行评估的实验数据：平均亮度，平均一阶导数亮度，变化指数，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，这些功能可以利用具有高度的有效性，比较年龄，识别不健康的样品，不仅区分控制和营养缺乏，而且还识别个人的营养缺陷。因此，我们的工作证实，HS成像具有良好的潜力，作为一种非破坏性的，以及非接触的方法来检测葡萄叶片的年龄，健康状况和个别营养缺乏症
英文摘要：
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
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