RETRACTED ARTICLE: Research on agricultural products supply chain inspection system based on internet of things

Leng, Kaijun; Jin, Linbo; Shi, Wen; Nieuwenhuyse, Inneke Van

doi:10.1007/s10586-018-2021-6

Cited by 49 publications

(24 citation statements)

References 20 publications

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“…Since data was large, k-means clustering is used to analyze the data. Kaijun Leng et al [83], presented a study for the application of IoT in agricultural products supply chain management. Authors discussed in length what to take into consideration, while designing a structural model for the supply chain management.…”

Section: A Iot In Farm Managementmentioning

confidence: 99%

Recent Developments of the Internet of Things in Agriculture: A Survey

2020

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A rise in the population has immensely increased the pressure on the agriculture sector. With the advent of technology, this decade is witnessing a shift from conventional approaches to the most advanced ones. The Internet of Things (IoT) has transformed both the quality and quantity of the agriculture sector. Hybridization of species along with the real-time monitoring of the farms paved a way for resource optimization. Scientists, research institutions, academicians, and most nations across the globe are moving towards the practice and execution of collaborative projects to explore the horizon of this field for serving mankind. The tech industry is racing to provide more optimal solutions. Inclusion of IoT, along with cloud computing, big data analytics, and wireless sensor networks can provide sufficient scope to predict, process, and analyze the situations and improve the activities in the real-time scenario. The concept of heterogeneity and interoperability of the devices by providing flexible, scalable, and durable methods, models are also opening new domains in this field. Therefore, this paper contributes towards the recent IoT technologies in the agriculture sector, along with the development of hardware and software systems. The public and private sector projects and startup's started all over the globe to provide smart and sustainable solutions in precision agriculture are also discussed. The current scenario, applications, research potential, limitations, and future aspects are briefly discussed. Based on the concepts of IoT a precision farming framework is also proposed in this article.

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Section: A Iot In Farm Managementmentioning

confidence: 99%

Recent Developments of the Internet of Things in Agriculture: A Survey

2020

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“…For example, it is shown in [68] that the analysis on smart grid data can help to detect electricity theft consequently securing smart grids. Moreover, the IoT data in the whole food supply-chain is also beneficial to prevent mischievous actions and guarantee food safety [69]. • Optimizing system performance.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Big Data Analytics for Large-scale Wireless Networks

et al. 2019

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The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large scale wireless networks. Big data of large scale wireless networks has the key features of wide variety, high volume, real-time velocity and huge value leading to the unique research challenges that are different from existing computing systems. In this paper, we present a survey of the state-of-art big data analytics (BDA) approaches for large scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area.

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“…The on-line detection and remote diagnosis of printing press are realized, and the problem of wide distribution and difficult maintenance of printing press issolved. Leng et al [8] proposes a fault diagnosis model based on neural network and finds that the fault diagnosis system cannot only reduce the communication burden, but also have a high diagnosis rateand can be well used in the fault diagnosis system of aquaculture IOT. Wei et al [9] analyzes the advantages and disadvantages of the traditional aiNet network model for mechanical fault diagnosis.…”

Section: Related Workmentioning

confidence: 99%

Research on fault diagnosis of thermodynamic system based on the network model of internet of things

Wei

2019

THERM SCI

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Original scientific paper https://doi.org/10.2298/TSCI181204158HAiming at the problem that the traditional diagnosis model is difficult to be established accurately, a fault diagnosis algorithm based on the fault diagnosis criterion is constructed to study the fault diagnosis of thermodynamic system based on the network model of internet of things. By analyzing the fault parameters of the equipment system, the algorithm establishes the fault matrix, calculates the mapping relation function corresponding to the states with unknown and known matrix, and obtains the optimal solution of the objective function. It solves the problem that the traditional diagnosis scheme is difficult to accurately diagnose the unknown model. By analyzing the cause and mechanism of the system fault, the diagnosis criterion of each kind of fault is determined. The fault matrix is established by calculation and judgment. The simulation experiment of gas path fault shows that the criterion of turbine blade mechanical damage fault is that the turbine efficiency is reduced by 5%, which is consistent with the theoretical analysis. This shows that the proposed algorithm is effective and the simulated data can be used as technical support for fault diagnosis of similar thermodynamic systems.

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RETRACTED ARTICLE: Research on agricultural products supply chain inspection system based on internet of things

Cited by 49 publications

References 20 publications

Recent Developments of the Internet of Things in Agriculture: A Survey

Recent Developments of the Internet of Things in Agriculture: A Survey

Big Data Analytics for Large-scale Wireless Networks

Research on fault diagnosis of thermodynamic system based on the network model of internet of things

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