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A WebGIS-based decision support system for locust prevention and control in China

Author:
Yao, Xiaochuang, Zhu, Dehai, Yun, Wenju, Peng, Fan, Li, Lin
Source:
Computers and electronics in agriculture 2017 v.140 pp. 148-158
ISSN:
0168-1699
Subject:
Internet, computer software, decision making, decision support systems, disasters, farmers, geographic information systems, global positioning systems, government agencies, insect control, local government, locusts, models, physical control, swarms, China
Abstract:
Locust swarms are destructive agricultural and biological disasters in China. The green prevention and control (GPC, such as ecological regulation and physical control) of locusts is a comprehensive and complex process, especially in information technology. In this study, a web-based decision support system (DSS) integrated with geographic information system (GIS) is developed to prevent and control locusts efficiently, accurately, and rapidly. The locust prevention and control DSS (LPCDSS) is developed to assist farmers and local government agencies in Chinese provinces with high incidence of locust by providing spatial decision-making information. LPCDSS offers online access to county, city, provincial, and national level data queries and is capable of storing, spatial analyzing, and displaying geographically referenced information of locust data. The system can also provide the real-time tracking of global positioning system (GPS) location, as well as goods scheduling of locust plagues prevention. Six types of web service, real-time data synchronization model, and locust population estimation model are developed and implemented to improve the decision-making usability and feasibility of LPCDSS by adopting a three-layer system architecture. The system is developed by using several programming languages, libraries, and software components. As a result, this system has been running successfully for several years and has improved efficiency of the locust prevention and control in China with high efficiency and great accuracy. The approaches and methodologies presented in this paper can serve as a reference for those who are interested in developing integrated pest control system applications.
Agid:
5709627