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Research on image quality in decision management system and information system framework

机译：决策管理系统和信息系统框架中的图像质量研究

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With the continuous development of society and the rapid advancement of science and technology, all walks of life are increasingly required to effectively manage their projects or affairs. Decision-making is the basis of project management, and the formation of decisions determines the formulation of corresponding programs, organizations and businesses. Decision-making is generated by decision makers based on the multi-faceted information they have, so decision management systems and information systems are inseparable in the management of projects and transactions. At present, research on decision management systems emphasizes management and decisions, and few researchers combine decision management and related information. In view of the current research deficiencies, and taking into account the needs of various industries for image applications, this paper introduces image quality evaluation methods, and systematically studies the decision management system and information system framework. The experiment part takes the intelligent image recognition and prevention system of citrus pests and diseases as an example, and the role of image quality in decision management system and information system from the perspective of practice. The results show that through the image quality evaluation system, in the identification and prevention of citrus pests and diseases, it can combine various aspects of information to make effective prevention and control decisions. The results show that the introduction of image quality evaluation can improve the comprehensiveness of information system. On this basis, decision-making system can help decision makers make correct decisions quickly and effectively. (C) 2019 Published by Elsevier Inc.
机译：随着社会的不断发展和科学技术的飞速发展，人们越来越需要各行各业有效地管理其项目或事务。决策是项目管理的基础，决策的形成决定了相应计划，组织和业务的制定。决策是由决策者根据他们拥有的多方面信息生成的，因此，决策管理系统和信息系统在项目和交易的管理中是分不开的。目前，对决策管理系统的研究侧重于管理和决策，很少有研究者将决策管理和相关信息结合起来。针对当前研究的不足，结合各行业对图像应用的需求，介绍了图像质量评价方法，并系统地研究了决策管理系统和信息系统框架。实验部分以柑橘病虫害智能图像识别与预防系统为例，从实践的角度出发，探讨图像质量在决策管理系统和信息系统中的作用。结果表明，通过图像质量评估系统，在柑橘病虫害的识别和预防中，可以结合信息的各个方面，做出有效的防治决策。结果表明，引入图像质量评价可以提高信息系统的综合性。在此基础上，决策系统可以帮助决策者快速有效地做出正确的决策。 （C）2019由Elsevier Inc.发布

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