Feature Extraction of Field Environmental Information Using the Change Point Analysis Method

Bibliographic Information

Other Title
  • 変化点分析法を用いた圃場環境情報の特徴量抽出とその妥当性の検証

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Description

Environmental data are measured and collected by simple monitoring devices installed in agricultural fields. These data are very important not only for understanding and predicting factors such as the growth of crops and the occurrence of pests and diseases, but also for optimizing agricultural production processes such as planting, irrigation, fertilization, pest control, and harvesting. However, the amount of data stored in agricultural information databases is rapidly increasing owing to an increase in the number of monitoring devices and sensors installed in such devices. To properly detect characteristic values from such a vast amount of data, it is necessary to develop new numerical technologies and methods. We developed a simple field monitoring system to establish field observations, production optimization, and information sharing between farmers. We also developed and applied a change point analysis program based on the singular spectrum transformation to conduct change point analyses of the field environmental data measured by the monitoring devices. The calculated change point values were then verified through a comparison with farm data recorded by a corporative farmer in the feasibility study.

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Details 詳細情報について

  • CRID
    1390001204460803968
  • NII Article ID
    130004488667
  • DOI
    10.3173/air.22.174
  • ISSN
    18815219
    09169482
  • Text Lang
    ja
  • Article Type
    journal article
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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