Development greenhouse environment prediction system using IoT data

DOI

説明

Currently, the decrease in the working population is a significant problem in agriculture in Japan. In addition, the prices of imported vegetables and fruits have been rising due to international trade problems such as the weak yen. This study has developed an environmental data storage system using IoT to assist the labor force and to understand the cultivation data of crops that have not been cultivated in Japan. Using this big data, we have constructed and evaluated a forecasting system. In this study, we focus on the domestic cultivation of bananas grown in the tropics as the subject to obtain data and make predictions. For learning, a system was constructed to infer the next day's temperature by time-series analysis, using as input data obtained from the IoT. In this paper, we report a comparison of two time series analysis algorithms.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390862931515316480
  • DOI
    10.5954/icarob.2024.os20-11
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用不可

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