京都大学 京都大学

Agricultural Systems Engineering

Numbering Code G-AGR05 6EA28 LE83 Year/Term 2022 ・ First semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese and English Day/Period Wed.1
Instructor name IIDA MICHIHISA (Graduate School of Agriculture Professor)
Outline and Purpose of the Course "Field Automation" in agriculture is important to improve self-sufficiency rate of food and reduce environmental impact in Japan. Field Automation in agriculture implies automation, robotics and informatics of agricultural machinery and bio-production. This class will address sensor, measuring method, control and mechatronics in agriculture.
Course Goals 1. Students learn technical issues in agricultural machinery and equipments.
2. Students understand mechanism and control system of real agricultural machines.
3. Students can apply those knowledge to their own research and study.
Schedule and Contents 1-3 weeks of lectures are planned for each of the topics, including the following:
1. Field automation in agriculture (2)
These sessions will explain the current state of automation technologies in agriculture and computerized
technologies, which are expected to make further advances in years to come.
2. Basic electronic circuit (2)
The sessions will provide an explanation of the mechanisms of basic electronic circuits, which are essential
for the automation and computerization of farming work.
3. Sensors (2)
To achieve automated control, it is necessary to measure various physical quantities using sensors. The
principles and operation methods of typical sensors will be explained.
4. Robotics (4)
These sessions will focus on robot mechanics and describe the kinematics and dynamics necessary to achieve
control.
5. Position measurement technology (2)
Positional measurement technology is essential for collecting information on cultivated lands and achieving
autonomous operation of farm machinery. The sessions will describe the agricultural applications of
measurement methods using the global positioning system.
6. Autonomous driving technologies (2)
Autonomous driving technology is one of the core technologies for achieving advanced automation and
computerization in farming machinery. The technology will be divided into internal sensors and external
sensors, and the performance and applications of the technology in both categories will be explained.
7. Feedback (1)
Instructors will be available in their offices during the feedback period to answer questions from students.
Evaluation Methods and Policy Grading will be based on an overall assessment of projects and reports. There will be no examinations.
Course Requirements Completion of Control Engineering, Biomechanism
Measurement, Field Robotics and other relevant courses offered the undergraduate department is desirable.
Study outside of Class (preparation and review) Lecturer gives students assignment or report. Please submit all of them.
Textbooks Textbooks/References Some materials or hard copies will be distributed as necessary.
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