本地和国际数据库中的数字农业信息资源

Q4 Agricultural and Biological Sciences Biulleten'' Pochvennogo instituta im VV Dokuchaeva Pub Date : 2021-10-19 DOI:10.19047/0136-1694-2021-108-157-174
M. Bunin, I. A. Kolenchenko, L. Pirumova
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引用次数: 1

摘要

本文回顾了国际跨学科和部门国际和地方数据库中关于精准农业和数字农业的信息资源。分析了检索要求为“数字农业”、“精准农业”的数据库Web of Science、Scopus、AGRIS(联合国粮农组织)和Engineering infrastructure of Agriculture、Rosinformagrotech、AGROS(中央科学农业图书馆)。作者估计了AGROS数据库的文件流动态,并证实了当地精准农业出版物的数量强劲增长,达到了精准农业技术采用的水平。同时,数字农业的文献流动水平处于起步阶段。对该主题最常见出版物的分析表明,当地没有关于精准农业的专业期刊,最常见的出版物出现在当地期刊上,如《农村机械与设备》、《土壤科学与农业化学》、《农业机械与技术》。主要材料发表在国外专业期刊“农业中的计算机与电子”和“精准农业”上。大多数文件都是从WOS和Scopus数据库中获得的,但其中很多都无关紧要。在搜索外国文件时,使用所有可用的数据库是有意义的,但AGRIS数据库中提供了大多数开放访问的全尺寸文本。同样,AGROS数据库提供了大量俄语文本。AGROS和AGRIS数据库在搜索结果中显示出与大多数相关文档的高效搜索,因为这两个数据库都使用词库作为语言工具。
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Digital agriculture informational resources in local and international databases
The article reviews informational resources on precision and digital agriculture in international cross-disciplinal and sectoral international and local databases. The databases Web of Science, Scopus, AGRIS (by FAO UN) and Engineering infrastructure of Agriculture, Rosinformagrotech, AGROS (by Central Scientific Agricultural Library) with the retrieval requests “Digital agriculture”, “Precision Agriculture” were analyzed. The authors estimated the dynamics of document flows to the AGROS database and confirmed strong growth of volume of local publications on precision agriculture to the level demonstrating technology adoption of precision agriculture. Meanwhile the level of document flow on digital agriculture is at the starting level. Analysis of most frequent publications on the topic showed that there’s no local specialized journals on precision agriculture, most frequently publications appeared in local journals such as “Machinery and equipment for rural areas”, “Soil science and agrochemistry”, “Agricultural machinery and technology”. Predominantly materials were published in specialized foreign journals “Computers and electronics in agriculture” and “Precision agriculture”. Most of the documents were obtained from WOS and Scopus databases, but a lot of them are irrelevant. While searching for foreign documents it makes sense to use all the databases available, but most of the full-size texts in open access are available in the AGRIS database. In the same way AGROS database provide a wide range of full-size texts in the Russian language. Both AGROS and AGRIS databases showed high efficiency of search with most relevant documents in search results since both databases use thesaurus as a linguistic tool. 
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
8 weeks
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