Analysis on the application and development mode of Internet of Things technology in “smart agriculture”

2021 ◽  
Author(s):  
Gui Wang

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.



2021 ◽  
Vol 7 (5) ◽  
pp. 3493-3506
Author(s):  
Leilei Wang

Objectives: In order to effectively improve the information level of sports goods traceability, to achieve its safety and quality of the whole supervision and information sharing. In view of the current sports supplies supply chain management, there are many problems in operation efficiency, information level, management level. Methods: The application of Internet of Things (IOT) technology to supply chain management of sports goods is proposed, and the system model is constructed and designed. This paper analyzes the connotation of sporting goods traceability and the necessity and feasibility of implementing sporting goods traceability, and proposes the design of sporting goods traceability system based on Internet of Things technology. Results: Firstly, the tracing model of sporting goods based on RFID and EPC Internet of Things was constructed. Then the system was designed from the aspects of system requirements analysis, overall design and detailed design. Conclusion:This completes the real-time tracking and traceability of sporting goods, and promotes the informationization and visual management of the sporting goods supply chain.



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