农业知识图谱构建数据集

doi:10.19788/j.issn.2096-6369.100002

Abstract

Abstract:

Improving the efficiency of agricultural production and optimizing the problems in agricultural production through information technology is crucial for the development of agriculture in China. At present, the development of information technology has generated massive amounts of data, which are mostly distributed on the Internet in fragmented and unstructured forms. Especially in the domain of agriculture, using traditional search engines for information retrieval is difficult to efficiently and accurately obtain valuable agricultural information, often requiring a lot of time and effort to collect and organize secondary data from massive unorganized data. To address the above issues, this paper utilizes web crawler technology to mine data from publicly available agricultural websites. Through automatic or semi-automatic data cleaning, denoising, and other processes, unstructured data are recombined into structured data, which is ultimately stored in the form of a knowledge graph. The dataset for constructing agricultural knowledge graph includes item data for 11 agricultural categories, such as grain crops, cash crops, fruits, vegetables, etc. Specifically, it includes 461 types of grain crops, 2 208 types of cash crops, 1 294 types of fruits, 257 types of vegetables, 118 types of edible fungi, 1 161 types of flowers and trees, 142 types of aquatic products, 113 types of pesticides, 1 605 types of crop diseases and pests, 519 types of veterinary drugs, and 603 types of Chinese herbal medicines, totaling 8 481 subcategories. The agricultural knowledge graph constructed based on this dataset has 90 508 triplets, which can provide basic data support for the development of human-machine interactive intelligent applications such as agricultural knowledge Q&A and recommendation systems. Meanwhile, integrating agricultural knowledge graph into generative large language models can help achieve more efficient and accurate information retrieval and intelligent decision-making in vertical domains.

Data summary:

Items	Description
Dataset name	A Dataset for Constructing Agricultural Knowledge Graph
Specific subject area	Computer Science and Technology; Other disciplines in Agronomy
Research topic	Agricultural knowledge graph; Data mining; Artificial intelligence
Time range	2020 - 2023
Geographical scope	China
Data types and technical formats	*.JSON
Dataset structure	The constructed agricultural knowledge graph includes item data for 11 agricultural categories, such as grain crops, cash crops, fruits, vegetables, etc. Specifically, it includes 461 types of grain crops, 2208 types of cash crops, 1294 types of fruits, 257 types of vegetables, 118 types of edible fungi, 1161 types of flowers and trees, 142 types of aquatic products, 113 types of pesticides, 1605 types of crop diseases and pests, 519 types of veterinary drugs, and 603 types of Chinese herbal medicines, totaling 8481 subcategories. The data of each major category are saved separately in JSON format files.
Volume of data	14.6 MB
Key index in dataset	Category of crops; Number of triples
Data accessibility	DOI:10.57760/sciencedb.agriculture.00016 CSTR：17058.11.sciencedb.agriculture.00016 https://doi.org/10.57760/sciencedb.agriculture.00016
Financial support	National Natural Science Foundation of China (Grants No. 32071901, 32271981) and the Database in National Basic Science Data Center (NO. NBSDC-DB-20)

Key words: agricultural data, network mining, knowledge mapping, datasets

CHEN Lei, ZHOU Na, ZHU PengXuan, YUAN Yuan. A Dataset for Constructing Agricultural Knowledge Graph[J].Journal of Agricultural Big Data, 2024, 6(1): 1-8.

Figures/Tables 8

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References 15

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数据类别	属性	小类数量（个）
粮食作物（cereals）	品种来源、选育单位、形态特征、产量表现、产地	461
经济作物（commercial_crop）	品种来源、选育单位、形态特征、产量表现、产地	2208
水果（fruits）	品种来源、选育单位、形态特征、产量表现、产地	1294
蔬菜（vegetables）	品种来源、选育单位、形态特征、产量表现、产地	257
食用菌（mushrooms）	品种来源、选育单位、形态特征、产量表现、产地	118
水产（sc）	别名、产地、介绍、科属	142
农药（ny）	性能、应用、注意事项、中毒症状及急救措施、介绍	113
花木（hm）	别名、产地、繁殖、花果期、日照、温度、土壤、水分、形态特征、用途、植物特性、习性、科属、病虫害、介绍	1161
农作物病虫害（nzwbch）	病症、病原、危害特点、形态特征、防治方法、传播途径和发病条件、寄主、生态习性、学名、病因、介绍	1605
兽药（sy）	主要成分、性状、药理作用、适应症状、用法用量、规格、包装、临床作用、专家推荐、用途、停药期、不良反应、注意事项、贮藏、产品特点、介绍	519
中草药（zcy）	药用部位、药材性状、栽培方法、产地、采收加工、地道沿革、性味归经、功能主治、用法用量、禁忌、介绍	603

A Dataset for Constructing Agricultural Knowledge Graph

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