Academic Journal of Computing & Information Science, 2024, 7(12); doi: 10.25236/AJCIS.2024.071217.
Yongbo Jia, Xiongwei He, Zhiqiao Wu
Shanxi Agricultural University, Jinzhong, Shanxi, 030801, China
With the continuous improvement of agricultural mechanization level, the role of supply chain management in agricultural production is becoming increasingly significant. The article aims to explore the application of big data technology in agricultural mechanization supply chain and the challenges it faces. Through remote sensing technology, Internet of Things technology, data mining, and machine learning methods, remote monitoring and intelligent management of agricultural machinery and equipment can be achieved, as well as information management of agricultural product production and circulation links, further optimizing resource allocation and enhancing the quality and market competitiveness of agricultural products. Research has found that big data technology can significantly improve the overall efficiency and response speed of agricultural mechanization supply chains, supporting agricultural producers to make more scientific and reasonable decisions. However, challenges such as data security, data quality, and data privacy also arise. To address these challenges, the article proposes implementing multi-layer encryption and access control, adopting advanced data cleaning techniques and verification mechanisms, and implementing strict data classification and anonymization processing strategies.
Big data technology; Mechanization; Supply chain; data security
Yongbo Jia, Xiongwei He, Zhiqiao Wu. Application and challenge of big data technology in agricultural mechanization supply chain. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 12: 117-121. https://doi.org/10.25236/AJCIS.2024.071217.
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