农业病虫害信息检索数据集

doi:10.19788/j.issn.2096-6369.100053

Abstract

Abstract:

With the rapid development of natural language processing and information retrieval technologies, the effective extraction and application of knowledge in the agricultural field have become increasingly important. The core of information retrieval lies in quickly and accurately locating relevant information from the knowledge base based on users' query requirements [1]. However, due to the lack of high-quality text datasets in the agricultural field in China, the further development of agricultural pest and disease information retrieval technology has been restricted. In addition, traditional search engines have shown low efficiency and insufficient accuracy in information retrieval in the agricultural field. Users often need to spend a lot of time and energy to re-screen and organize the massive and disordered data information to obtain valuable agricultural knowledge. To address the above problems, this paper has reorganized the text data on animals, plants, diseases, and invasive species accumulated by the laboratory over the years, combined with extensive literature research data, and after the processes of automated or semi-automated data cleaning and denoising, reorganized the unstructured data into structured data, and finally stored it in excel format. The constructed agricultural information retrieval dataset includes three major categories: domestic agricultural pests and diseases, invasive alien species, and quarantine species. Among them, agricultural pests and diseases include 1,254 diseases and 440 pests related to 83 crops; invasive alien species include 70 invasive alien animals and 130 invasive alien plants; Quarantine species include 99 kinds of insects, 9 kinds of mollusks, 19 kinds of fungi, 25 kinds of prokaryotes, 18 kinds of nematodes, 37 kinds of viruses and viroids, and 42 kinds of weeds. A total of 2,143 kinds of pests and diseases. In total, there are 1,983 types of pests and diseases. This dataset covers a wide range of categories and can provide basic data support for the research and development of human-computer interaction-friendly intelligent applications such as agricultural information retrieval, epidemic prevention and quarantine, and database construction in the agricultural field. At the same time, it can provide relevant data query services for scientific research institutions and functional departments engaged in pest-related work.

Data summary:

Items	Description
Dataset name	Agricultural Pest and Disease Information Retrieval Dataset
Specific subject area	Computer science and technology; Other disciplines in agronomy
Research topic	Agricultural information retrieval; data mining; artificial intelligence
Time range	2012-2024
Geographical scope	China
Data types and technical formats	.xlsx
Dataset structure	The agricultural information retrieval dataset includes three categories of domestic agricultural pests and diseases, invasive species from abroad, and quarantine species. Among them, agricultural pests and diseases include 1 254 kinds of plant-related diseases and 440 kinds of insect pests related to 83 kinds of crops; invasive species from abroad include 70 kinds of invasive animals and 130 kinds of invasive plants; Quarantine species include 99 kinds of insects, 9 kinds of mollusks, 19 kinds of fungi, 25 kinds of prokaryotes, 18 kinds of nematodes, 37 kinds of viruses and viroids, and 42 kinds of weeds. A total of 2,143 kinds of pests and diseases. The data of each category is saved in separate Excel format files.
Volume of data	4.96 MB
Key index in dataset	Types of pests and diseases
Data accessibility	CSTR:17058.11.sciencedb.agriculture.00187; https://cstr.cn/17058.11.sciencedb.agriculture.00187 DOI:10.57760/sciencedb.agriculture.00187; https://doi.org/10.57760/sciencedb.agriculture.00187
Financial support	National key research and development plan (2021YFD1400100, 2021YFD1400102, 2021YFD1400101), The Agricultural Science and Technology Innovation Program (ASTIP)(CAAS-ZDRW202505).

Key words: agricultural data, web mining, information retrieval, datasets, agricultural disease, agricultural pest

WANG Zhen, QIN Feng, QIAO Xi, HUANG Cong, LIU Bo, WAN FangHao, WANG Chen JiaoZi, HUANG YiQi. Agricultural Pest and Disease Information Retrieval Dataset[J].Journal of Agricultural Big Data, 2025, 7(3): 379-392.

Figures/Tables 6

Table 1

Details of Existing Text Information Retrieval Datasets"

名称	时间	语言	实体数量	对象领域	是否公开
农业本体知识库	2015	中文	不明确	农业	否
农业知识类音视频合成文件文本数据集	2015	中文	不明确	农业	否
Rice Pest Relation Dataset	2019	中文	6 868 句文本	农业水稻病虫害	否
农业领域语义知识图谱数据集	2019	中文	8 136个实体，构建了28 104个实体-关系-实体的三元组集合	包括了7种主要粮食作物的相关信息（玉米、小麦、棉花、水稻、大豆、番薯、马铃薯）	否
汉-维跨语种农业知识库	2019	中文和维吾尔语	不明确	农业	否
农业环境感知数据知识图谱数据集	2020	中文	不明确	农业环境	否
AgCNER	2020	中文	66 553	农业病虫害	是
CORD-19	2020	英语	数百万篇文献	COVID-19与农业	是
枸杞虫害图文跨模态数据集	2021	中文	9 380幅图像样本，每个图像都有相应的文本描述	农业（17种枸杞虫害）	否
FAO文献库	持续更新	多语言	数百万篇文献	农业	是
Agrovoc	持续更新	多语言	数百万篇文献	农业	是
Agris	持续更新	多语言	数十万篇文献	农业	是
Pubag	持续更新	多语言	数十万篇文献	农业	是
TECA	持续更新	多语言	数十万篇文献	农业	是
中国外来入侵物种信息系统	2022	中文	218个物种的信息	植物、动物和微生物	是
外来入侵物种信息系统	2023	中文	数百个物种的信息	外来入侵物种	是
农业病虫草害图文数据库	持续更新	中文	上千种病虫害信息	农业病虫害	是
CABI	持续更新	英文	1 500多个入侵生物	外来入侵物种	否
NAPPFAST	持续更新	英文	上万种病虫害信息	病虫害	是
PestLens	持续更新	英文	上千种检疫性物种信息	检疫性物种	否
EPICA	持续更新	英文	上千个入侵物种信息	外来入侵物种	是
APHIS	持续更新	英文	上千个入侵物种信息	外来入侵物种	否

Table 1

Fig. 1

Fig. 2

Fig. 3

Table 2

An example of collated data: Tea cake disease"

中文名称	茶饼病
简介	茶饼病分布各茶区，茶园发病率20%－30%，重病茶园达60%－80%，严重影响茶叶产量。病叶制出得成茶品质低劣。
危害症状
病原	病原为坏损外担菌Exobasidium vexans Massee，属担子菌亚门。
侵染循环	(1)病原越冬：菌以菌丝体在病叶活体上越冬或越夏。(2)传播：春季当平均温度在15－20℃，相对湿度80%以上时，形成担孢子。担孢子在夜间释放，随风飞散，落到新梢嫩叶上，遇有水滴时开始萌发，侵入组织，经过3－18天后，产生新病斑。然后病斑上长出白粉状物，继续飞散传播，进行多次侵染，病害不断扩大。远距离传播主要靠苗木调运。(3)发生时期：各茶区发病时间不同，华东、华南茶区3－5月份、9－10月份发生，西南茶区7－11月份发生，海南茶区2月份及9月份以后至翌年1月份发生。春、秋季发生，夏季因为气温高而受抑制。
发生因素	品种间有抗病性差异。高山、山谷、阴坡茶园，由于多雾露，日照少，湿度大，气温低，因此发生严重。管理粗放，杂草多，施肥不当，遮阴，发生也多。密植茶园比条植茶园发病重。
防治方法	(1)检疫：非病区引进苗木时要认真检查，发现病苗马上处理，防止该病传播、扩散。(2)农业防治：勤除杂草，清除茶园及附近的野生灌木，以利通风透光。适当增施磷、钾肥，以增强树势，减轻发病。及时分批多次采摘，选择适当时期修剪，使新梢抽生时避过发病盛期，以减少侵染机会。在采摘期和冬春休眠期，彻底清除发病芽叶，减少初侵染来源。(3)化学防治：①冬春季可喷0.2%－0.5%硫酸铜溶液杀灭越冬菌源。②若连续5天中有3天上午日均日照时数小于3小时，或5天日降雨量2.5mm-5mm时，应马上喷药防治。药剂选用20%三唑酮乳油1500倍液，或20%萎锈灵乳油1000倍液，或90%甲基硫菌灵可湿性粉剂l 000倍液，或77%氢氧化铜可湿性粉剂400－600倍液。隔7－10天喷1次，连续2或3次。③非采茶期和非采摘茶园可喷12%绿乳铜乳油600倍液。

Table 2

Table 3

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Agricultural Pest and Disease Information Retrieval Dataset

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数据类别	子类别	内容	小类数量（个）
农业病虫害	病害	中文名称、简介、危害症状、病原、侵染循环、发生因素、防治方法	1 254
农业病虫害	虫害	中文名称、简介、危害症状、发生因素、生活习性、形态特征、防治方法	440
外来入侵物种	植物	中文名称、形态特征、生境及其危害、生物学特性、国内分布	130
外来入侵物种	动物	中文名称、形态特征、生境及其危害、生物学特性、国内分布	70
检疫性物种	昆虫	中文名称、形态特征、防治方法、国内分布	99
	软体动物	中文名称、形态特征、防治方法、国内分布	9
	真菌	中文名称、形态特征、防治方法、国内分布	19
	原核生物	中文名称、形态特征、防治方法、国内分布	25
	线虫	中文名称、形态特征、防治方法、国内分布	18
	病毒及类病毒	中文名称、形态特征、防治方法、国内分布	37
	杂草	中文名称、形态特征、防治方法、国内分布	42

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