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

Abstract

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.