Application of big data analysis technology based on Hadoop framework in agricultural soil improvement

Yanqin Zhang; Zhanling Zhang

doi:10.1117/12.2657222

18 October 2022 Application of big data analysis technology based on Hadoop framework in agricultural soil improvement

Yanqin Zhang, Zhanling Zhang

Proceedings Volume 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022); 1234913 (2022) https://doi.org/10.1117/12.2657222
Event: International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 2022, Zhengzhou, China

Abstract

Agricultural big data refers to an expert system of soil data mass storage platform based on Hadoop, which is formed after combining the characteristics of agricultural rationality and seasonality. Using big data technology software, aiming at the problems of massive growth and low sharing of current agricultural soil chemical characteristic data, and combined with Hadoop framework. In order to realize the platform, HBase + HDFS is used to build a cloud storage platform; Aiming at the problem of server load balancing, partition strategy and dynamic load balancing strategy are proposed; Parallel clustering is introduced to realize the classification and mining of soil chemical characteristic data; Finally, the storage platform is verified. The results show that the platform shows excellent performance in performance and clustering result scheme, which has great reference value for the application of big data analysis technology in agricultural production. In building a new countryside, the application prospect of big data technology is broad.

Citation Download Citation

Yanqin Zhang and Zhanling Zhang "Application of big data analysis technology based on Hadoop framework in agricultural soil improvement", Proc. SPIE 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 1234913 (18 October 2022); https://doi.org/10.1117/12.2657222

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