Web Information Intelligent Extraction for Agricultural Product Quality and Safety System

  • Song Mei
Keywords: Quality Safety System, Web Information, Information Extraction, Agricultural Products

Abstract

With the development of society, people pay more and more attention to the safety of food, and relevant laws
and policies are gradually introduced and being improved. The research and development of agricultural product
quality and safety system has become a research hot spot, and how to effectively and quickly obtain the Web
information of the system is the focus of the research, so it is essential to carry out the intelligent extraction of
Web information for agricultural product quality and safety system. The purpose of this paper is to solve the
problem of how to efficiently extract the Web information of the agricultural product quality and safety system.
By studying the Web information extraction methods of various systems, the paper makes a detailed analysis
and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural
product quality and safety system. This paper analyzes in detail all kinds of template information extraction
algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web
information of agricultural product quality and safety system according to the template. The research results
show that the proposed scheme is a dynamically extensible information extraction system, which can
independently implement dynamic configuration templates according to different requirements without
changing the code. Compared with the general way, the Web information extraction speed of agricultural
product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is
increased by 30%.

Published
2020-02-01