Numbering Code	U-AGR03 3C146 LJ83	Year/Term	2022 ・ Second semester
Number of Credits	2	Course Type	Lecture
Target Year	3rd year students	Target Student
Language	Japanese	Day/Period	Fri.1
Instructor name	IIDA MICHIHISA (Graduate School of Agriculture Professor)
Outline and Purpose of the Course	In order to streamline and save labor in farm work, the objective is to learn about the robotization of machines and devices used in the field or buildings and computerization technology. In order to achieve this, we will explain the engineering physics of robotic arms and robotic vehicles. In addition, while reviewing the basic structure and function of major agricultural machinery used in the field, we will explain applied sensors and control technology. Furthermore, we will explain measuring methods and regulation technology for application to precision farming.
Course Goals	・To acquire basic knowledge of robotics and sensing technologies, which are necessary for agriculture. ・To understand the relationship between what has been learned and the actual work (the site). ・To develop the ability to engage with the task (reports) voluntarily and continuously.
Schedule and Contents	1. Trends in research on field robots (3 classes) 　Providing an overview of recent examples of research on field robots 2. Positioning technology using GNSS (3 classes) 　Providing an overview of the satellite navigation system (Global Navigation Satellite System, GNSS) used to obtain position information required for automation/computerization in agriculture 3. Engineering physics of robots (4 classes) 　Describing mechanism, kinematics, and dynamics, which form the basis of robotic arms 4. Engineering physics of robotic vehicles (2 classes) 　Describing mechanism, kinematics, and dynamics, which form the basis of robotic vehicles 5. Vehicle-type field robots (1 class) 　Describing robotic vehicles such as the tiller, rice transplanter, and combine harvester as examples of robotization technology in agricultural machinery and the navigation sensor used to control them 6. Basic image data processing (1 class) 　Discussing measurement technology using image data processing, which is widely used in quality assessment, remote sensing, obstacle detection, and object identification in farming Feedback: I will make myself available in my office during the feedback hours to take questions from students. ※ The numbers in the brackets refer to the number of classes.
Evaluation Methods and Policy	・Assessment is based on attitude (attendance/reports) (30 points) and the end-of-semester exam (70 points). ・Assessment criteria and policy are drawn from "Assessment criteria and policy" in the current version of the Faculty of Agriculture Student Handbook.
Course Requirements	It is advisable that students have Overview to Community Environmental Engineering II, Biological Production Mechanics, and Experiments in Agricultural Machinery I.
Study outside of Class (preparation and review)	Be sure to solve the mathematical formulae explained in class, and set tasks on your own at least once.
Textbooks	Textbooks/References	KONDO, Naoshi et al. 『農業生産工学概論－食料・エネルギ・環境－ 』 (Asakura-shoten) ISBN:4-254-44028-07: This textbook is used in Community Environmental Engineering II and Biological Production Mechanics. Handouts will be distributed when necessary.
References, etc.	IKEDA, Yoshiro et al. 『農業機械学　第3版』 (Buneido-shuppan) ISBN:4-8300-4109-9; KONDO, Naoshi et al. 『農業ロボット（Ⅰ）』 (Corona Publishing) ISBN:4-339-05215-9