センサを用いたコスト制約を伴う栽培管理に関する一考察

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2024/03/01

タイトル(英語): A Note on Cost Constrained Cultivation Management using Sensors

著者名: 前田　康成（北見工業大学地域未来デザイン工学科）

著者名(英語): Yasunari Maeda (School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology)

キーワード: 栽培管理，センサ，コスト制約，マルコフ決定過程，統計的決定理論，ベイズ基準　　cultivation management，sensor，cost constraint，Markov decision processes，statistical decision theory，Bayes criterion

要約(英語): There is a lot of previous research on cultivation management based on mathematical engineering. In some previous research, the expected profit of cultivation management using sensors is maximized under the condition that growing states are unknown. Considerations of cost constraints are needed in real agriculture. But in the previous research, cost constraints are not considered. So, in this research, cost constrained cultivation management using sensors is studied. A new cultivation management method which maximizes the expected profit of cost constrained cultivation management using sensors is proposed. In the proposed method, multiple agricultural fields are managed. The cultivation management problem is modeled by Markov decision processes as previous research. The expected profit is maximized with reference to a Bayes criterion using dynamic programming method. The effectiveness of the proposed method is shown by some computational examples. Adaptive cultivation action selection, cost adjustment on the time axis and cost adjustment between the agricultural fields are confirmed in the computational examples.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.144 No.3 （2024） 特集：IoT農業に向けた生体計測マイクロデバイス

本誌掲載ページ: 36-43 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/144/3/144_36/_article/-char/ja/