Abstract

To monitor and control locusts efficiently, an information platform for locust control based on the global positioning system (GPS), remote sensing (RS), and geographic information systems (GIS) was developed. The platform can provide accurate information about locust occurrence and control strategies for a specific geographic place. The platform consists of three systems based on modern pest control: field ecology (locust occurrence) and GIS in a mobile GPS pad, a processing system for locust information based on GIS and RS, and a WebGIS-based real-time monitoring and controlling system. This platform was run at different geographical locations for three years and facilitated locust control in China with high efficiency and great accuracy.

Highlights

  • Along with floods and droughts, locust swarms are the cause of devastating agricultural/biological disasters in China.[1]

  • Based on the required functionality of the platform, we designed it with three systems: a collecting system used to use a personal digital assistant (PDA) for collecting ecological and geographic information in the field, a processing system for locust information based on geographic information system (GIS) and remote sensing (RS), and a real-time monitoring and controlling system based on WebGIS

  • The workflow of the platform is that locusts are monitored using a RS technology subsystem, a PDA-based collecting system, and national meteorological stations

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Summary

Introduction

Along with floods and droughts, locust swarms are the cause of devastating agricultural/biological disasters in China.[1] The dominant locust species is Locusta migratoria manilensis. More than 2 million ha of agricultural land in China is affected by the invasion of these species annually.[2] Choosing the best strategy for controlling locusts and grasshoppers requires a complex and extensive analysis of information, including the biological characteristics of locusts, vegetation, humidity, and pesticides.[3] The rapid development of computer technology has made this objective relatively easy to achieve.[4] An increasing number of information systems for pest control have been implemented, and these systems have played an important role in pest control. We report on the design and implementation of the platform in this article

Demand for Locust Control and Information Platform Tasks
Spatial Database Design
Working flowchart and implementation of the collecting system with PDA
Processing system function design
Design and implementation of software architecture
Division of locust occurrence regions
Analysis of degree of locust occurrence
Monitoring and controlling system function design
Implementation of commanding and dispatch subsystem
RS Technology Subsystem
Conclusions and Prospects
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