RETRACTED ARTICLE: Construction of the legal framework of Chinese-funded enterprises’ agricultural investment under big data technology

Wang, Guiling; Chen, Yimin

doi:10.1080/09064710.2021.1946586

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…From the point of view of economic law, it carries out a systematic analysis of the legal system of agricultural investments. Finally, through the analysis of the problems, it puts forward proposals for decision-making in agricultural investments, which refer to the following relevant studies [5]. Jia has provided an indepth understanding and analysis of English teaching reform in colleges and universities through in-depth research and analysis of the role of Big Data technology in reform.…”

Section: Related Workmentioning

confidence: 99%

Infrastructure Smart Service System Based on Big Data Information System

Dou

2022

Mobile Information Systems

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With the acceleration of urbanization and the improvement of people’s living standards, people pay more and more attention to the services provided by infrastructure. Smart services refer to the services provided by individuals or organizations using their wisdom for other people or organizations to facilitate people’s lives. Wisdom is not only a tool of service but also the content of service. In fact, the rapid economic development and infrastructure construction did not develop in equal proportions. With the continuous progress of society, groups with different social attributes have emerged, and they have put forward diversified demands for public services in terms of both quality and quantity. This paper aims to study the research of infrastructure intelligent service system based on big data information system. It expects to use the big data information system to integrate the current infrastructure resources to meet people’s needs. Big data refer to a large amount of diverse digital information that requires new processing modes to have higher decision-making power. This paper designs and develops a new smart community service system, hoping to provide people with more and more convenient services through this system. This paper explores public facilities services from the perspective of public facilities stakeholders to realize the value transformation of public facilities. The experimental results of this paper show that 67% of the people participating in the experiment believe that the protection of stair treads is very necessary, and 73% of people think that it is very necessary to install elevators in multistorey residences. According to the data, most consumers believe that smart services are very necessary and need to be equipped.

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Section: Related Workmentioning

confidence: 99%

Infrastructure Smart Service System Based on Big Data Information System

Dou

2022

Mobile Information Systems

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“…Information technology and data mining (DM) technology are changing people's lives, and information processing has become stronger. Various types of information research are becoming increasingly important [22].…”

Section: Introductionmentioning

confidence: 99%

Design of Intelligent Management Platform for Industry–Education Cooperation of Vocational Education by Data Mining

Hao

Yang

et al. 2022

Applied Sciences

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Data are playing an increasingly important role in the development of industry–education cooperation strategies in vocational education and training. The objective of this study was to promote the comprehensive progress of an industry–education cooperation system and improve the effect of the application of big data technology in this system. First, we designed of a big data technology application in an intelligent management platform system for industry–education cooperation. Second, we analyzed the synthetical design of the system. Finally, we optimized and designed a support vector machine (SVM) data mining (DM) algorithm model based on big data, and evaluated the model. The results revealed that the designed algorithm model provides outstanding advantages compared with similar algorithm models. In general, the highest average computation time of the designed SVM algorithm model is about 95 ms. The overall average calculation time linearly decreases around 200 iterations and tends to be stable, and the lowest overall average computation time is about 20 ms. In the DM process, the highest accuracy rate of the model is about 97%, and the lowest is about 92%. The DM accuracy rate is always stable as the number of iterations of the model continues to increase. The designed model slowly increases the occupancy rate of the system in the process of increasing computing time. At about 60 min, the system occupancy rate of the model tends to be stable, and the highest is maintained at about 23%. This study not only provides technical support for the optimization of DM algorithms with big data technology, but also contributes to the integrated development of industry–education cooperation systems.

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“…When applied to rural excess labor land and other resources, this strategy can result in a more equitable distribution of those resources. The concentration of agricultural production in rural areas can contribute to the development of the agricultural sector [6]. New business models are required as a result of the modernization of agriculture, from farm to fork and beyond.…”

Section: Introductionmentioning

confidence: 99%

Improve the Design Intelligence through Wireless Networks to Increase Agricultural Production in Provincial Countries

Dai¹

2022

Wireless Communications and Mobile Computing

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The agricultural field requires hard work and enough human resources to complete any agriculture tasks. Apart from these requirements, maintenance costs and services of the agricultural equipment have also to be considered. Therefore, according to the agricultural work essentials, the workforce has to be increased, and productivity can also be improved. However, it is not easy to find a human resource under certain rash circumstances. By then, the productivity of agriculture may get affected; to overcome this issue, specific intelligent systems can be introduced to manage the productivity of the provincial states of the country. According to the requirement of agricultural productivity, intelligent sensors can be fixed in the agricultural land to monitor the status of the land and crops to take precautionary actions. To implement this intelligent technology in this research, wireless sensors are fixed to collect data and perform analysis with the aid of intelligent decision support systems. The study results proved that the provincial countries have obtained increased agricultural production from 2014 to 2020.

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RETRACTED ARTICLE: Construction of the legal framework of Chinese-funded enterprises’ agricultural investment under big data technology

Cited by 7 publications

References 25 publications

Infrastructure Smart Service System Based on Big Data Information System

Infrastructure Smart Service System Based on Big Data Information System

Design of Intelligent Management Platform for Industry–Education Cooperation of Vocational Education by Data Mining

Improve the Design Intelligence through Wireless Networks to Increase Agricultural Production in Provincial Countries

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