基于WOS的高光谱技术在农业方面应用的计量分析

来源:用户上传      作者:彭晓伟　张爱军　杨晓楠

　　 摘要： 利用高光谱技术可对作物在生长发育过程中出现的问题进行实时监控和处理，从而实现精准施肥、精准施药及实时管理。为了解高光谱技术在农业领域中的利用状况，利用Web of Science网站自带的数据分析功能以及VOSviewer可视化分析软件对Web of Science核心合集数据库中高光谱技g在农业领域中应用的发文数量与研究领域、主要发文国家（地区）、主要发文机构和研究学者、主要发文学术期刊、发文被引频次较多的文章、主要研究热点及其变化趋势等进行计量分析。结果表明，高光谱技术在农业领域的应用受到的关注越来越多，发文量呈现指数增长的趋势。发文量最高的20个国家中有9个是欧洲国家，中国、美国对该领域的贡献最大。高光谱技术在农业领域应用研究的影响力最高的期刊为Remote Sensing of Environment，发文量最多的学者为浙江大学的He Yong，影响力最高的文章是“Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy： a review”。高光谱技术在农业领域应用的研究趋势主要涉及数据采集、分析方式的更新及作物对光谱的作用机制。
　　关键词： 高光谱技术;农业领域;计量分析
　　中图分类号： S127 文献标识码： A 文章编号： 1000-4440（2022）01-0239-11
　　 Abstract： Hyperspectral technology can be used to monitor and deal with the problems in the process of crop growth and development in real time， so as to realize precise fertilization， precise application and real-time management. In order to understand the utilization of hyperspectral technology in the field of agriculture， the data analysis function of Web of Science system and VOSviewer visualization analysis software were used to quantitatively analyze the number and research field of hyperspectral technology in the core collection database of Web of Science， the main countries （ regions ）， the main institutions and scholars， the main academic journals， the articles with more citations， the main research hotspots and their trends. The results showed that the application of hyperspectral technology in agriculture had attracted more and more attention， and the number of publications exhibited an exponential growth trend. Nine of the 20 countries with the highest number of publications were European countries， but China and the United States had the largest contribution to this field. The most influential journal of hyperspectral technology in agricultural applications was Remote Sensing of Environment， and HE Y of Zhejiang University was the scholar with the largest number of publications. The most influential article was ‘Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy： a review’. The development trend of hyperspectral technology in agriculture mainly involves the updating of data collection and analysis methods and the action mechanism of crop on spectrum.
　　Key words： hyperspectral technology;agricultural field;quantitative analysis
　　 高光谱遥感（Hyperspectral remote sensing），又称成像光谱遥感，是以测谱学为基础发展起来的遥感前沿技术，它利用很窄（一般波段宽度<10 nm）的电磁波波段从感兴趣的物体上获取有关数据，高光谱分辨率一般可达到10-2 λ数量级，可产生1条完整的光谱曲线[1]，并且高光谱遥感具有谱像合一的技术，使图像可以同时具有空间、辐射和波谱信息。由于遥感技术具有获取速度快、信息量大、覆盖面广的特点[2-4]，因此被广泛应用在农业遥感监测中[5-6]。

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