2013-2018年中国主要作物田杂草发生危害数据集  

A dataset of weed occurrence and infestation in major crop fields in China from 2013 to 2018

作　　者：张翔鹤 满芮[1,2,3] 王晓丽 樊景超[1,2,3] 黄红娟 魏守辉[4] ZHANG Xianghe;MAN Rui;WANG Xiaoli;FAN Jingchao;HUANG Hongjuan;WEI Shouhui(Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China;National Agriculture Science Data Center,Beijing 100081,P.R.China;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081,P.R.China;Institute of Plant Protection,Chinese Academy of Agricultural Sciences,Beijing 100193,P.R.China)

机构地区：[1]中国农业科学院农业信息研究所,北京100081 [2]国家农业科学数据中心,北京100081 [3]农业农村部农业大数据重点实验室,北京100081 [4]中国农业科学院植物保护研究所,北京100193

出　　处：《中国科学数据（中英文网络版）》2021年第4期192-201,共10页China Scientific Data

基　　金：中国农业科学院创新工程(2020CX017);科技部科技基础性工作专项(2013FY113200)。

摘　　要：作物田杂草严重影响粮食产量和品质,其防控和治理对农业生产安全至关重要。目前,我国对作物田杂草信息的研究大多集中于机器学习和识别上,数据资源以图像数据居多。本研究在野外田间调查的基础上,收集整理了小麦、玉米和茶叶田的281种杂草发生危害的数据资源,记载了3392条发生量记录,包含每种杂草的23个数据字段,资源涵盖7个省份。本数据集的建设对我国作物田杂草数据资源的收集和利用具有十分重要的意义,为杂草发生危害的现状分析和监测预警提供了数据基础。Farmland weeds cause significant losses in crop yield and quality,and their prevention and control are critically important to the safety of agricultural production.At present,in China,most of the research on weed information in crop fields focuses mainly on machine learning and recognition,and the majority of data resources is image data.Based on field surveys,this study collected data resources of 281 weeds in wheat,corn and tea crop fields,and documented 3,392 occurrence and infestation records,including 23 data fields for each weed.The data resources covered seven provinces.The construction of this dataset is of great significance to the collection and utilization of weed data resources in crop fields in China,and provides a basis for the current situation analysis and monitoring and early warning of weed occurrence and infestation in crop fields.

关 键 词：作物田 杂草发生危害 科学数据 数据共享 

分 类 号：S451[农业科学—植物保护]