2026 (Current Year) Faculty Courses School of Engineering Major courses
Introduction to Super Smart Society:Smart Agriculture
- Academic unit or major
- Major courses
- Instructor(s)
- Hideharu Takahashi
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Class
- -
- Course Code
- XEG.S413
- Number of credits
- 100
- Course offered
- 2026
- Offered quarter
- 4Q
- Syllabus updated
- Apr 17, 2026
- Language
- English
Syllabus
Course overview and goals
This course focuses on agriculture challenges, a critical frontier in realizing a Super Smart Society. We will examine how cutting-edge science can be leveraged to smart agriculture and explore how students’ respective fields of expertise can be applied to these solutions. Furthermore, by drawing on the instructor’s multifaceted career, students will gain insights to inspire and shape their own future career planning.
Course description and aims
In this lecture, students will learn about challenges in smart agriculture, solutions and advanced practical examples for the realization of smart agriculture, from lecturers who are members of the Super Smart Society Promotion Consortium, and will be able to explain the purpose, significance, challenges, latest practical examples, and desirable future vision of smart agriculture.
Furthermore, by exploring the instructor’s diverse career path, students will gain insights into entrepreneurship, leadership, professional ethics, and social responsibility, ultimately formulating their own personal career plans.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium.
Keywords
Super-Smart Society, IoT, Robotics, Smart Agriculture, Sensing, Social Implementation, Development of Society
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
A series of lectures given by several lecturers will be delivered on demand, followed by discussion between students.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Smart Agricultural Technologies in Action: Current Landscape and Strategic Pathways |
Specified in the lecture |
| Class 2 | Advancing from Precision Agriculture to Next-Generation Smart Agriculture |
Specified in the lecture |
| Class 3 | Kubota’s Smart Agriculture initiatives and Future Outlook |
Specified in the lecture |
| Class 4 | Technological Trends and Possibilities for Sustainable Plant Factory Systems - towards social and cultural dissemination - |
Specified in the lecture |
| Class 5 | Expectations for Technology to Support Agriculture from the Perspective of Ibaraki |
Specified in the lecture |
| Class 6 | OPTiM’s Challenges for Smart Agriculture Utilizing AI, IoT and Robots |
Specified in the lecture |
| Class 7 | Environmentally Friendly Agriculture ～The fun of Agriculture and the Importance of Food～ |
Specified in the lecture |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Specified in the lecture
Reference books, course materials, etc.
Specified in the lecture
Evaluation methods and criteria
Grading will be based on the discussions with other students and lecturers about the contents of the lecture videos.
Related courses
- XEG.S411 ： Introduction to Super Smart Society:Quantum Science
- XEG.S412 ： Introduction to Super Smart Society:Smart Healthcare
- XEG.S413 ： Introduction to Super Smart Society:Smart Agriculture
- XEG.S414 ： Introduction to Super Smart Society:Smart Workplaces
- XEG.S415 ： Introduction to Super Smart Society:Smart Production
- XEG.S416 ： Introduction to Super Smart Society:Smart Ocean
Prerequisites
This Course is the successor to the courses on SSS Innovation offered by the WISE (World-leading Innovative & Smart Education) Program for Super Smart Society (SSS.S401–SSS.S406) until Academic Year (AY) 2025. Students who have already earned credits for the following courses in or before AY2025 are not eligible to register for their corresponding successor courses from AY2026 onwards.
Completed in/before AY2025 --- Ineligible for registration from AY2026
SSS.S401 (Quantum) --- XEG.S411 (Quantum)
SSS.S403 (Agriculture) --- XEG.S413 (Agriculture)
SSS.S404 (Workplace) --- XEG.S414 (Workplace)
SSS.S405 (Manufacturing) --- XEG.S415 (Manufacturing)
SSS.S406 (Ocean) --- XEG.S416 (Ocean)
Other
This course is the successor to the courses on SSS Innovation offered by the WISE (World-leading Innovative & Smart Education) Program for Super Smart Society (SSS.S401–SSS.S406) until Academic Year (AY) 2025. Starting from AY2026, this course is offered by the School of Engineering Common Courses. Consequently, the course code prefix will be updated from "SSS" to "XEG."