文化大學機構典藏 CCUR:Item 987654321/39773
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/39773


    Title: 影像處理用於小型植物工廠之研究
    Study on Mini Plant Factory Using Digital Image Processing
    Authors: 岳雷神
    Contributors: 資訊工程學系
    Keywords: 植物工廠
    影像處理
    Raspberry Pi
    Arduino
    CODESYS
    Qt
    Plant factory
    Image Processing
    Date: 2018
    Issue Date: 2018-05-03 11:51:09 (UTC+8)
    Abstract:   近年食安問題與氣候變遷的狀況頻繁,讓過去沉寂一時的植物工廠又重新引起不少討論與關注。隨著物聯網概念的興起,讓原本大型的植物工廠,也開始朝向小型化、可移動的方式發展。目前雖然有不少植物栽培箱的文獻,但是多數只介紹硬體如何設置與使用,對於實際的植物種植與生長狀況卻沒有做太多說明與介紹。所以本論文將使用一般容易取得的微控制器作為控制核心,來建構迷你型的植物工廠。除了提供正常環境種植植物外,同時記錄其生長狀況。藉由所蒐集到的植物生長數據來分析植物成長狀況,進而達成自動化植物種植的理想。此自動化迷你型植物工廠目的是希望在人口邁向老化、勞動力逐漸不足的社會,能夠透過此自動化系統的輔助來減少看管與照顧植物的時間。
    In recent years, food safety problems and climate change are frequent, so that the plant factory once again aroused much discussion and attention. And with the rise of Internet of things (IoT), the large-scale plant factories are also beginning to move toward miniaturization and mobility. Although there are many literature on the boxes of plant cultivation, most of them only describe the hardware and its functions. Therefore, this paper will use inexpensive microcontroller to control the mini plant factory. The mini plant not only provides a normal environment for planting, but also records the growth status. By collecting and analyzing the data of plant growth, we can understand the status of plant growth and turn plant cultivation into an automated production process. For the future of population aging and insufficient workforce, the mini plant factory can reduce the time spent on looking after plants.
    Appears in Collections:[Department of Computer Science and Information Engineering] thesis

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