迈向蝗虫管理:挑战与技术机遇,赞比亚Sikaunzwe

Brian Halubanza, J. Phiri, Phillip O.Y Nkunika, Mayumbo Nyirenda, D. Kunda
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引用次数: 1

摘要

蝗虫入侵已被证明是对世界粮食安全和生计的威胁。非洲蝗虫肆虐地区的政府采取了各种预警战略,旨在预防和消除非洲移栖蝗虫和红蝗的影响。这些措施包括社区宣传、使用eLocust3早期预警系统和使用推荐的农药喷洒受影响地区。然而,在赞比亚的Sikaunzwe农业营地这个研究区域,蝗虫的管理面临着独特的挑战。这项研究的重点是探索农业部在利用现有的早期预警策略管理蝗虫入侵蔓延方面面临的挑战。本研究采用焦点小组讨论(Focus Group Discussion, FGD)方法,采用定性数据分析软件NVivo 11基于主题编码框架对数据进行分析。会议承认了下列挑战:未能确定正确的蝗虫种类,实地工作人员有限,以及无法进入受感染地区。针对上述挑战提出的技术解决方案包括使用机器学习、低成本无人机、地理空间技术和物联网。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Locust Management: Challenges and Technological opportunities, Sikaunzwe, Zambia
Locust invasions have proved to be a threat to the world’s food security and livelihood. Governments in locust infested areas in Africa have adopted various early warning strategies aimed at preventing and eliminating the impact of both African Migratory Locusts and Red Locusts. These measures include community sensitisation, use of eLocust3 early warning system and spraying of affected areas using recommended pesticides. Management of locusts in the study area, Sikaunzwe Agriculture Camp in Zambia, is however faced with unique challenges. The research was focused on exploring challenges faced by the ministry of agriculture in managing the spread of locust invasions using the existing early warning strategies. Focus Group Discussion (FGD) method was used in the study and NVivo 11, a qualitative data analysis software, was used to analyse the data based on thematic coding framework. The following challenges were acknowledged; failure to identify correct locust species, limited field staff and inaccessibility of infested areas. The proposed technology solutions to the above challenges include the use of machine learning, low cost drones, geospatial technology and Internet of Things.
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