Skip to Main content Skip to Navigation
Conference papers

GPC: An Expert System Based on Multi-branch Structure for Grass Pest Control Information

Abstract : Since 1997, 13 provinces and regions in China have experienced grass pest disasters. The average annual hazard area comprised more than 3 million mu and the annual economic losses totaled more than 20 billion Yuan. Because grassland encompasses very large areas, grass pest disasters occur suddenly and frequently; thus, they are very difficult to predict and subsequently monitor. In order to provide technical support for grassland plant protection, we need to develop effective early warning systems and effective control measures. Herein, we develop and evaluate GPC (Grass Pest Control information system), a web-based expert system for identification of grass pests, which included more than 50 species of grass pests. It has been developed by China Agricultural University and Institute of Plant Protection, Chinese Academy of Agricultural Sciences. Based on user needs, GPC was developed with ASP.NET, C# and Microsoft SQL server 2008 database. In its development we used 8 databases including a user information database, basic information database, and identification knowledge database. This tool and information database was developed both for grassland plant protection technicians and farmers.
Document type :
Conference papers
Complete list of metadata

Cited literature [37 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, August 4, 2016 - 5:08:42 PM
Last modification on : Wednesday, July 21, 2021 - 10:28:03 AM
Long-term archiving on: : Saturday, November 5, 2016 - 12:51:27 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Zhigang Wu, Zehua Zhang, Wenxin Li, Guangjun Wang, Zhihong Li. GPC: An Expert System Based on Multi-branch Structure for Grass Pest Control Information. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. pp.229-235, ⟨10.1007/978-3-642-27281-3_29⟩. ⟨hal-01351815⟩



Record views


Files downloads