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A study on Digital Agriculture Data Curation Service Plan for Digital Agriculture

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(2), pp.171-177
  • DOI : 10.9708/jksci.2022.27.02.171
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 28, 2022
  • Accepted : February 15, 2022
  • Published : February 28, 2022

Lee, Hyunjo 1 Han-Jin Cho 2 Chae Cheol Joo 3

1전북대학교
2극동대학교
3한국농수산대학교

Accredited

ABSTRACT

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.