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2026 (Current Year) Faculty Courses School of Engineering Department of Mechanical Engineering Graduate major in Super Smart Society

Introduction to Convergence Science : Smart Agriculture

Academic unit or major
Graduate major in Super Smart Society
Instructor(s)
Hideharu Takahashi
Class Format
Lecture
Media-enhanced courses
-
Day of week/Period
(Classrooms)
Class
-
Course Code
SMT.B603
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.
After seven lectures, report assignment will be given.

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 final report on "Idea to convergent my expertise and cutting-edge research and development that are introduced in the lectures to realize super smart society"

Related courses

  • SMT.B601 : Introduction to Convergence Science: Quantum Science
  • SMT.B602 : Introduction to Convergence Science: Smart Healthcare
  • SMT.B603 : Introduction to Convergence Science : Smart Agriculture
  • SMT.B604 : Introduction to Convergence Science: Smart Workplaces
  • SMT.B605 : Introduction to Convergence Science: Smart Production
  • SMT.B606 : Introduction to Convergence Science: Smart Ocean

Prerequisites

None

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. These courses are now being offered as a curriculum specifically developed for doctoral students.