智能农业信息发布框架:电子政务

Q. Ahmad, I. Sarwar
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引用次数: 6

摘要

农民,特别是发展中国家的农民,面临着诸如土壤磨损、产量损失、市场价格下降、农药成本增加和经济壁垒等问题。这些问题阻碍了这些种植者采用现代农业策略,从而使他们变得脆弱。然而,这些农民可以利用事先掌握的信息对所有农业经营作出明智的决定。我们建议建立一个基于信息通信技术和电子政务基础设施的农业信息系统(Agr-IS),通过对农民进行可持续农业(SA)不同方面的教育,使他们受益。拟议的信息系统的核心功能由智能农业决策支持系统支持,该系统接收各种政府机构的信息,并将相关信息发送给低端农民。农业决策支持系统与Agr-IS、各种其他开源软件(如Asterisk服务器)和基于soa的电子政务基础设施合作,以易于访问和易于理解的形式向农民、农业研究人员和顾问传播最新的农业信息。为了提高政府对农业的参与,以利用农业改革,SOA的功能通过基于SOA的电子政务基础设施得到充分利用。这将大大有助于弥合农村农民与政府机构之间的差距。拥有多样化的生物物理和社会经济数据和知识,所展示的基础设施将通过提供数据、程序和分析能力,帮助减少不确定性,改善决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An intelligent agri-information dissemination framework: An e-Government
Farmers, specifically of developing countries, face problems like soil attrition, yield losses, reduced market prices, increased pesticides costs and economic barriers. These problems prevent these cultivators from adopting modern farming strategies and hence render them vulnerable. However, these farmers can use pre-hand information to make informed decisions with respect to all agricultural operation. We propose an agriculture information system (Agr-IS) based on ICTs and e-government infrastructure for the benefit of rural farmers by educating them on different aspects of sustainable agriculture (SA). The core functionality of proposed information system is supported by an intelligent Agro-DSS which receives information for various governmental agencies and dispatches the relevant information to the lower end farmers. Agro-DSS works in collaboration with Agr-IS, various other open source software (like Asterisk server), and SOA-based e-government infrastructure for the dissemination of up-to-date agricultural information in a readily accessible and easily understood form, to farmers, agricultural researchers, and advisers. In order to improve the governmental involvement in agriculture to leverage agricultural reforms, the capabilities of SOA are exploited using SOA-based e-government infrastructure. It will help significantly in bridging the gap between rural farmers and governmental agencies. With a diverse biophysical and socio-economic data and knowledge, the presented infrastructure will help reduce the uncertainty and improve decision making process by providing access to data, procedures and analytical capability.
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