隨全球經濟發展、環保意識抬頭，以及食品安全衛生議題的日益重視，運用資訊科技維護人們食的安全已是一股不可擋的趨勢。本論文以資訊科技導入農產品生產控管以及維護生產品質、建立所謂農產履歷為研究目的；並以豬隻生產為例，深入探討在豬隻的生產過程中如何導入這新的科技技術，以及所搭配的生產履歷資訊平台。 文中首先針對所謂「農產履歷」作一詳細介紹，其中包括農產履歷的來由、推動農產履歷原因，以及目前各國所推展的農產履歷的現況如何。另外，在導入農產履歷之前也必須先了解所謂的「追溯系統」，在農產品整個生產過程中有哪些東西或流程是必須追蹤記錄。 本研究案在眾多的農產品中選擇以豬隻的生產過程作為導入「農產履歷」的研究標的其原因是因為： 1、 豬隻為我國農產品中產值最高。 2、 豬隻的生產過程短，從出生到送入屠宰僅六個半月。 3、 豬隻的生產過程中所需控管的項目較多，例如：飼料、添加劑、藥品、種源等。 本研究選擇以RFID作為農產履歷的記錄介質，在豬隻的身上打上所謂的RFID晶片，借以控管並記錄豬隻的生產過程，然，RFID晶片的外在形式有兩種，一種是外在耳掛式的晶片，稱之為「RFID耳標」，另ㄧ種是皮下植入式的，我們稱之為「植入式晶片」，本研究亦會針對這兩種不同的晶片同時導入加以評估，選擇一個最適合於豬隻生產所應搭配的形式。 除此之外，搭配RFID晶片所需的生產資訊系統，意即「畜牧場管理系統」也是不可或缺的，本研究案同時也針對了該管理系統有一深入的研究並提出該系統的設計理念，以及相關的系統設計方式，以期在本研究結束後能夠提出一套完整的豬隻生產過程的「農產履歷系統」。 / As the global economic development, environmental awareness and the attention to food safety, applying technology to safeguard people's food security is an irreversible trend. The purposes of this paper are to addresses the methods of introducing technology into agricultural production and control, and the maintenance of production quality. Take the production of pigs for example to investigate the introduction of technology to agricultural production as well as the operation and usage of information platform. The thesis is aimed at so-called “agro-biographical”, containing the origins, the motivations and the current status of introduction of agro-biographical all around the world. On the other hand, the so-called "tracing system" is acknowledged before the introduction of agro-biography, which indicates what and how the detailed data should be included or recorded. The case studies were selected in many agricultural production processes as a force to pigs "agro-biographical" because of the research subjects: 1. Pigs generate the highest value among Taiwan’s agricultural products and they are the necessity. 2. The production process of pigs is short, only six and a half months from birth to slaughter. 3. The more attentions are required to pigs production process and control, such as feed, additives, drugs, plant sources. The study selected RFID as agro-biographical recording media, which control and record pig production process. These RFID chips are in two forms, one is the external ear TAGs, the so called “RFID ear TAG”, and the other is in subcutaneous implantation style in the heads, known as “Subcutaneous Implantation TAG”. The study made comparison between these two kinds of RFIDs and the evaluated them to choose the better one. In addition, the mix of RFID chips for the production of information systems, namely, “The livestock management system” is also indispensable. The research also investigated in the management system , concepts of design, and related systems topics. Finally, the results are hoped to make contribution to the introduction of technology to agro-biography.

<p>There is a growing demand for indoor farm management systems that can track plant growth, allow automatic control and aid in real-time decision making. Internet of Thing (IoT)-based solutions are being applied to meet these needs and numerous researchers have created prototypes for meeting specific needs using sensors, algorithms, and automations. However, limited studies are available that report on comprehensive large-scale experiments to test various aspects related to availability, scalability and reliability of sensors and actuators used in low-cost indoor farms. The purpose of this study was to develop a low-cost, IoT devices driven indoor farm as a testbed for growing microgreens and other experimental crops. The testbed was designed using off-the-shelf sensors and actuators for conducting research experiments, addressing identified challenges, and utilizing remotely acquired data for developing an intelligent farm management system. The sensors were used for collecting and monitoring electrical conductivity (EC), pH and dissolved oxygen (DO) levels of the nutrient solution, light intensity, environmental variables, and imagery data. The control of light emitting diodes (LEDs), irrigation pumps, and camera modules was carried out using commercially available components. All the sensors and actuators were remotely monitored, controlled, and coordinated using a cloud-based dashboard, Raspberry Pis, and Arduino microcontrollers. To implement a reliable, real-time control of actuators, edge computing was used as it helped in minimizing latency and identifying anomalies.</p> <p>Decision making about overall system performance and harvesting schedule was accomplished by providing alerts on anomalies in the sensors and actuators and through installation of cameras to predict yield of microgreens, respectively. A split-plot statistical design was used to evaluate the effect of lighting, nutrition solution concentration, seed density, and day of harvest on the growth of microgreens. This study complements and expands past efforts by other researchers on building a low cost IoT-based indoor farm. While the experience with the testbed demonstrates its real-world potential of conducting experimental research, some major lessons were learnt along the way that could be used for future enhancements.</p>