隨著全球人口的成長與經濟的發展，人類對於農畜產品的需求日漸增加。國內畜產業一方面處於牧地狹小的不利條件下，目前又面臨人口老化、缺工、氣候變遷以及全球化競爭等問題；因此，如何透過新興資訊技術，完善智慧化的畜牧養殖、畜產品加工、運輸物流、監控等議題顯得越形重要。
現今人工智慧（Artificial Intelligence，AI）以將舊有樣態推翻的強勢姿態出現，並利用智慧化科技，如物聯網（IoT）、大數據（Big Data）等，運用其精準化的特性，引領畜產業進入省時省力的高效率時代；與傳統時期人必須都親自到牧場才能做事不同，人在遠端傳送指令，智慧機具在現場接收到指令，就能立刻進行修改。此種工作模式，不僅省時省工，且能得到更高的生產效率。
相較於自動化，AI給予畜主精準數據，但若無人會解釋數據並善用它，則毫無意義。因此，AI為幫助生產者改變畜牧場的運營方式，而具備的功能是藉由分析由智能化設備收集的數據，通過模仿人類的決策來提供解決方案。若以先前的設備，要管理牧場中每頭動物的營養、生產幾乎是不可能的，但現今的技術卻有辦法提供繁殖、飼養等數據，使個體化生產不再僅是夢想。
本課程著重於AI科技在畜牧生產之運用，內容涵蓋了AI畜禽飼養、AI畜禽管理、AI畜禽產品收穫以及AI畜產品行銷等，使學生不僅瞭解AI、也看得懂AI。課程除給予學生豐富、紮實之學理，亦結合校外參訪，使學生有機會能接觸AI相關產業，並實際瞭解AI如何解決產業之難題。因此透過本課程之教授，將能有效提高學生對於國內外畜產智慧化研究、管理設施、行銷等有更深層的認識。課程且配合指定文獻的閱讀與互動討論，以增進學生對智慧化畜產現況的了解以及未來運用，有以致之。With the growth of global population and economic development, human demand for agricultural and livestock products is increasing day by day. On the one hand, the domestic livestock industry is faced with the unfavorable conditions of small pasture land, and is currently facing problems such as population aging, labor shortage, climate change, and global competition. Therefore, how to improve intelligent livestock breeding and livestock product processing through emerging information technology Issues such as transportation, logistics, and monitoring have become increasingly important.
Today, Artificial Intelligence (AI) appears with a strong attitude of overthrowing the old paradigm, and uses intelligent technologies, such as the Internet of Things (IoT), Big Data, etc., to use its precise characteristics to lead the way. The livestock industry has entered an era of high efficiency that saves time and effort; unlike the traditional period when people had to go to the ranch in person to do things, people send instructions remotely, and smart machines receive the instructions on site and can make modifications immediately. This working mode not only saves time and labor, but also achieves higher production efficiency.
Compared with automation, AI gives livestock owners accurate data, but it is meaningless if no one can interpret the data and make good use of it. Therefore, the function of AI to help producers change the way they operate livestock farms is to provide solutions by analyzing data collected by intelligent equipment and imitating human decision-making. With previous equipment, it would have been almost impossible to manage the nutrition and production of every animal in the pasture, but today's technology has the means to provide breeding, feeding and other data, making individualized production no longer just a dream.
This course focuses on the application of AI technology in livestock production. The content covers AI livestock and poultry breeding, AI livestock and poultry management, AI livestock and poultry product harvesting, and AI livestock product marketing, etc., so that students not only understand AI, but also understand AI. In addition to providing students with rich and solid academic theories, the course also incorporates off-campus visits, giving students the opportunity to get in touch with AI-related industries and actually understand how AI can solve industrial problems. Therefore, through the teaching of this course, students will be able to effectively improve their understanding of domestic and foreign livestock intelligent research, management facilities, marketing, etc. The course is combined with the reading of designated literature and interactive discussions to enhance students' understanding of the current situation and future applications of smart livestock production, and to achieve results.
1. Pradeep Tomar and Gurjit Kaur. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture. 2019. IGI Global.
2. Matthieu De Clercq, Anshu Vats, and Alvaro Biel. 2018. Argiculture 4.0: the future of farming technology. World Government Summit.
3. Myer Kutz. 2013. Handbook of Farm, Dairy and Food Machinery Engineering (Second Edition). Elsevier Inc.
4. Paul McNulty,Patrick M. Grace. 2009. Agricultural mechanization and automation. Encyclopedia of Life Support Systems (EOLSS).
5. 行政院生產力 4.0 發展方案。
6. 陳志維。2019。創新智慧家禽4.0科技提升產業競爭力。農政視野(第326期)。
7. 陳駿季、楊智凱。2017。推動智慧農業－翻轉臺灣農業。國土與公共治理學刊。
1. Pradeep Tomar and Gurjit Kaur. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture. 2019. IGI Global.
2. Matthieu De Clercq, Anshu Vats, and Alvaro Biel. 2018. Argiculture 4.0: the future of farming technology. World Government Summit.
3. Myer Kutz. 2013. Handbook of Farm, Dairy and Food Machinery Engineering (Second Edition). Elsevier Inc.
4. Paul McNulty,Patrick M. Grace. 2009. Agricultural mechanization and automation. Encyclopedia of Life Support Systems (EOLSS).
5. Executive Yuan Productivity 4.0 Development Plan.
6. Chen Zhiwei. 2019. Innovative smart poultry 4.0 technology enhances industrial competitiveness. Agricultural Policy Perspectives (Issue 326).
7. Chen Junji, Yang Zhikai. 2017. Promote smart agriculture—turning Taiwan’s agriculture upside down. Journal of Land and Public Governance.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時成績平時成績 usual results |
10 | 上課互動、出席狀況 |
| 期中考期中考 midterm exam |
35 | 期中考 |
| 期末考期末考 final exam |
35 | 期末考 |
| 期末報告期末報告 Final report |
20 | 期末報告 |
