2022 Super Smart Society Innovation A3: Frontiers in Smart Agriculture

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Academic unit or major
Academy for Super Smart Society
Instructor(s)
Ito Hiroyuki  Sampei Mitsuji  Nakao Hiroya  Nishihara Akinori  Shinyama Yusuke  Fukuda Eisuke  Inaba Akira  Murakami Noriyuki  Koike Satoshi  Iida Satoshi 
Class Format
Lecture    (On-demand)
Media-enhanced courses
Day/Period(Room No.)
Wed9-10()  
Group
-
Course number
SSS.S403
Credits
1
Academic year
2022
Offered quarter
2Q
Syllabus updated
2022/3/16
Lecture notes updated
-
Language used
English
Access Index

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.

Student learning outcomes

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.

Course taught by instructors with work experience

Applicable How instructors' work experience benefits the course
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 that will be developed

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 ppt slides, depending on the lecturer). Students can promptly ask questions or communicate with each other via T2SCHOLA bbs system. Feedback from lecturers will be given via T2SCHOLA.

Course schedule/Required learning

  Course schedule Required learning
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

Out-of-Class Study Time (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

Assessment criteria and methods

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 (i.e., required knowledge, skills, courses, etc.)

None

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