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Research on the Development Strategy of Digital Fusion Technology Driving Rural Revitalization in the Information Age

信息时代 融合 信息融合 开发(拓扑) 技术开发 工程类 航空学 业务 政治学 计算机科学 运输工程 制造工程 人工智能 数学 数学分析 哲学 语言学 法学
作者
Ying Huang
出处
期刊:International Journal of High Speed Electronics and Systems [World Scientific]
标识
DOI:10.1142/s0129156425401457
摘要

Rural revitalization refers to systematically promoting products and services to individuals residing in rural regions for marketing. It is a branch of marketing that specifically targets those living in more remote places. An organization’s data-driven insights, collaborative culture, adaptive systems, and developing technology may all be a part of a digital fusion strategy, which is an all-encompassing approach. A digital strategy outlines the company’s steps to adopt and use digital technologies to achieve its objectives. Data Fusion Marketing leverages data from several sources depending on the campaign goal. The challenging characteristics are water pollution caused by agricultural production, animal manure affecting the quality of rural water resources in rural revitalization and lack of collaboration among different organizations related to planning for development strategy in marketing. Hence, in this research, the Digital Fusion-enabled Internet of Things (DF-IoT) has been designed to help the marketing of development strategy in driving rural revitalization through the information age. Global economic integration cannot exist apart from national economic development integration, and developing marketing in economic integration cannot live apart from the composition of the rural revitalization unit. Economic integration and development in DF-IoT must be improved to prioritize rural regeneration and push for multi-cell integration of regional growth in marketing and domains of development strategy, with the expectation that they would serve as models for top-notch growth and suggestions for future strategic routes for rural revitalization. The experimental analysis of DF-IoT outperforms the development strategy for rural revitalization in terms of performance, accuracy, error rate, classification error and efficiency.
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