A study on Digital Agriculture Data Curation Service Plan for Digital Agriculture (디지털 농업을 위한 디지털 농업 데이터 큐레이션 서비스 방안 연구)

Lee, Hyunjo (이현조); Han-Jin Cho (조한진); Chae Cheol Joo (채철주)

doi:10.9708/jksci.2022.27.02.171

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.

KEYWORDS

Digital agriculture, Agricultural data, Curation, Clustering, Agricultural environment data

Citation status

* References for papers published after 2023 are currently being built.

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

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Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

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KCI Citation Counts (2)

REFERENCES (18) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.