Tea Tree Diseases And Insect Pests Detection And Control Information Mining And Visual Analysis

Tea is one of the important economic crops in China.Tea tree diseases and insect pests are the main factors affecting the yield and quality of tea.The current research and application information on tea tree diseases and insect pests detection(monitoring,forecasting,diagnosis,identification)and prevention and control is complicated.Researchers grasp the research status and development trends,which is not conducive to agricultural technicians to guide production practice.This article uses Cite Space software to collect literature data on tea tree diseases and insect pests detection and prevention research from CNKI database for data mining and visual analysis,and to achieve research hotspots,research frontiers,representative authors,major institutions,years by creating a knowledge map of tea tree disease and insect pests detection and prevention.And the visual display of the amount of documents,so as to find out the core topics and blank areas in the current research,and use the authoritative research authors and research results to guide the development of tea tree diseases and insect pests in the future.The research results will provide a basis for the relevant government decision-making departments to issue guidance,provide reference for the research direction of researchers in the field of tea,and provide guidance for agricultural technicians and tea growers in scientific planting.The main work is summarized as follows:(1)This paper comprehensively analyzes the domestic and foreign research status of tea tree diseases and insect pests detection and prevention,and expounds the purpose and significance of mining and analyzing tea tree diseases and insect pests detection and prevention information.(2)Describes the tool Cite Space used in this article in detail,and specifically introduces the use method and application of the software.(3)Using Cite Space for data mining and analysis of tea tree diseases and insect pests detection,in data collection,the method of data deduplication is mainly described.In keyword analysis,information technology such as image recognition,Internet of Things and expert system is mainly analyzed,and its purpose is to highlight In the "Internet +" era,the importance of artificial intelligence technology in the detection of tea tree diseases and insect pests,in order to provide researchers in this field with research ideas and determine the research direction.In the analysis of the authors,Zhou Lingyun,as the author with the largest number of articles,has a certain guiding effect on the development trend of tea tree diseases and insect pests detection.In the analysis of the author’s cooperative network,the network cooperation relationship established between the existing research authors is summarized less and weaker cooperation intensity,more limited to the same college or the same research institution,less cross-regional and interdisciplinary linkage,relatively lack of horizontal linkage,cross-team collaborative research needs to be strengthened.In the analysis of institutions,the Hunan Tea Research Institute has the highest number of articles.The research institutions on tea tree diseases and insect pests are more scattered,there are more isolated points,the connections between the institutions are sparse,the cooperation between institutions is less and the degree of cooperation is low There is not much communication between agencies.(4)Use Cite Space to carry out data mining and analysis on the prevention and control of tea tree diseases and insect pests.In the keyword analysis,focus on the research hotspot analysis.The concept keyword with the highest frequency is green prevention and control,followed by comprehensive prevention and control.The characteristics of "specific treatment" are different for different pest control methods.Therefore,in the hot spot analysis data,there are different key pests and diseases in different years.The analysis of research frontiers and development trends shows that since 2014,"comprehensive control" has become New research hotspots,for the prevention and control of tea tree diseases and insect pests,we should explore green and scientific integrated control techniques,reduce the incidence of tree diseases and insect pests through comprehensive means,and gradually introduce advanced control techniques to improve the efficiency of tree disease and insect pest control.The future development of planting provides favorable technical support.Secondly,the author’s cooperation relationship,institutional cooperation relationship,and the volume and age of the article were analyzed specifically.Through analysis of the volume and age of the article,we know that the amount of the article published shows a fluctuating state,but the overall development has developed.