傳統農場因佔地面積大且佈線不易，導致農場供電困難，若能對於農場進行分區規劃，進一步協助農戶進行農場管理，掌握作物生長資訊，可大幅減少人力成本以及提高生產效率。
以往使用者無法有效得知作物之歷史紀錄，若能建置一遠端監控平台，提供使用者監看農作物之生長環境資訊、歷史紀錄等等，使農場透明化，則可提升其管理模式。
因此本研究基於物聯網(Internet of Things,IOT)與霧運算(Fog Computing)架構提出一自動化之資訊管理系統，含有以下研究發展項目：(1)建置一具感測器及控制馬達之模組以傳送農場各區的環境資訊，並能在不利於生長條件環境下作出控制。並導入霧運算之架構，於模組中實現霧運算以降低網頁伺服器負荷。(2)導入具攝影功能之無人飛行載具(Unmanned Aerial Vehicle,UAV)以擷取植物生長情形之畫面並紀錄之，以達到監視農場環境之功能。 (3)供電方式則以導入太陽能系統為主，為各區塊之Wi-Fi模組提供電力運作。 (4)各區域的所擷取的資訊將透過無線傳輸將數據儲存至雲端資料庫，讓使用者能透過網際網路檢視農場各區域的生長紀錄，並能讓使用者即時監控。
本研究採樹莓派系列設備以實現無線網路傳輸，並以主從式架構（Server/Client）建立連線，並利用區域網路特性以及Linux防火牆功能兩層防護機制杜絕惡意入侵，以達到低成本、高效率及便利性。

Due to the large area and difficult wiring of traditional farms, it is difficult to supply power to the farm. If the farm is divided into districts, further assisting farmers in farm management and mastering crop growth information can greatly reduce labor costs and increase production efficiency.
In the past, users were unable to effectively understand the history of crops. If setting up a remote monitoring platform, provide users with information about the crop growth environment, history and other information to make the farm transparent and improve its management model.
Therefore, this study proposes an automated information management system based on the Internet of Things (IOT) and fog computing architecture, which contains the following research and development projects: (1) building modules with sensors and motors . The area can be controlled in an environment that is not conducive to growth conditions, and introduces the structure of the atomization operation and implements atomization operations in the module to reduce the load on the web server. (2) An unmanned aerial vehicle (UAV) with a photographic function is introduced to capture an image of plant growth and record it to monitor the farm environment. (3) The power supply mode is based on the introduction of the solar energy system to provide power operation for the Wi-Fi modules in each block. (4) The information collected in each area will be stored in the cloud database by wireless transmission, allowing users to view the growth records of each area of the farm through the Internet and allow users to monitor in real time.
This study uses Raspberry Pi series devices to achieve wireless network transmission, and establish a connection with the Server/Client architecture, using regional network features and Linux firewall features to prevent malicious intrusions. To achieve low cost, high efficiency and convenience.

摘 要 I
目 錄 IX
表 目 錄 XII
圖 目 錄 XIII
第一章 緒 論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究目的 3
第二章 文獻探討 4
2.1 智慧農場系統之探討 4
2.2 物聯網 7
2.3 Server/Client架構 9
2.4 嵌入式系統比較與分析 10
2.5 霧運算 11
2.6 太陽能資源評估 13
2.7 無人飛行載具之探討 15
第三章 Wi-Fi無線網路模組規劃 20
3.1 無線網路傳輸 20
3.1.1 無線網路通訊傳輸架構分析 20
3.1.2 以Raspberry pi zero w進行無線網路模組規劃 20
3.1.3 以Raspberry pi zero w實現霧運算之規劃 22
3.1.4 聯網節點佈署情境 23
3.2 環境感測 24
3.2.1 資料傳輸機制流程 25
3.3 自動化控制 27
3.3.1自動化灌溉系統 27
3.3.2 以網頁控制灌溉系統機制流程 29
3.3.3 定時灌溉系統機制流程 30
3.3.4 太陽能供電系統 31
第四章 實景監看系統 32
4.1 實景監看系統規劃 32
4.2 行動化圖片傳輸規劃 33
4.3 行動化圖片傳輸機制流程 33
第五章 遠端監控雲端服務平台系統規劃 35
5.1 系統之資料表規劃 38
5.2 環境資訊管理模組 40
5.3 歷史紀錄管理模組 41
5.4 遠端控制管理模組 42
5.5 硬體診斷管理模組 43
第六章 Wi-Fi無線網路模組實作 44
6.1 系統聯網部署 44
6.2 以Rpi zero w實作感測資料傳輸 45
6.3 以Rpi zero w實現霧運算 48
6.4 以Rpi zero w實作灑水器控制 49
6.4.1 以網頁控制灌溉系統實作 50
6.4.2 定時灌溉系統實作 51
6.5 太陽能供電系統案例及測試 52
6.5.1案例分析 52
6.5.2 系統測試 53
第七章 實景監看系統－以Android實作 54
第八章 遠端監控雲端服務平台系統實作 58
8.1 遠端監控雲端服務平台系統介面實作 58
8.1.1 環境資訊管理模組 59
8.1.2 歷史紀錄管理模組 60
8.1.3 遠端控制管理模組 62
8.1.4 硬體診斷管理模組 63
第九章 系統分析與討論 64
第十章 結論 65
參考文獻 66

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