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2024 Special graduate degree programs Specially Offered Degree Programs for Graduate Students Academy for Super Smart Society

Super Smart Society Innovation A3: Frontiers in Smart Agriculture

Academic unit or major
Academy for Super Smart Society
Instructor(s)
Makoto Urakawa / Jun Yoneda / Kimiko Kishi / Kei Sakaguchi / Kenji Kajihata / Hiroyuki Ito / Mitsuji Sampei / Hiroya Nakao / Akinori Nishihara / Tao Yu / Eisuke Fukuda / Noriyuki Murakami / Satoshi Koike / Satoshi Iida / Yuji Nagasaki / Takeshi Okuma
Class Format
Lecture (On-demand)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
On-demand
Class
-
Course Code
SSS.S403
Number of credits
100
Course offered
2024
Offered quarter
3Q
Syllabus updated
Mar 14, 2025
Language
English

Syllabus

Course overview and goals

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.

Course description and aims

Students will be able to explain the differences between Japanese and global agriculture, the future direction of Japanese agriculture, and the current status and issues of smart agriculture.

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 by several lecturers will be delivered on demand along with slides. Students can promptly ask questions or communicate with each other via T2SCHOLA bbs system. Feedback from lecturers will be given via T2SCHOLA.

Course schedule/Objectives

Course schedule Objectives
Class 1 Why is Smart Agriculture Needed? Problems in Agriculture, Forestry and Fisheries. Specified in the lecture
Class 2 Be Smarter! Future of Agriculture, Forestry and Fisheries. Specified in the lecture
Class 3 Current state of research in agricultural information technology in Japan Specified in the lecture
Class 4 Realization of Society 5.0 by utilizing Precision Agriculture into Smart Agriculture in NARO, Japan Specified in the lecture
Class 5 Transforming Agri & Food Systems Under a Changing Climate Specified in the lecture
Class 6 Next-Generation Green Revolution Integrating Science and Technology Specified in the lecture
Class 7 Kubota's approach to Smart Agriculture and future directions 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 afterward (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

  • SSS.S401 : Super Smart Society Innovation A1: Frontiers in Quantum Technology
  • SSS.S402 : Super Smart Society Innovation A2: IoT/ Robotics/Smart city

Prerequisites

None