L6028000 Practice of Smart Dairy Science

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School School of Applied Biological Science

Lecture Code L6028000 Subject Classification Specialized Education

Subject Name スマート酪農科学演習

Subject Name
（Katakana）スマートラクノウカガクエンシュウ

Subject Name in
English Practice of Smart Dairy Science

Instructor KUROKAWA YUUZOU,SUZUKI NAOKI,SUGINO TOSHIHISA,To be announced.

Instructor
(Katakana) クロカワ　ユウゾウ,スズキ　ナオキ,スギノ　トシヒサ,タントウキョウインミテイ

Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  Intensive

Days, Periods, and Classrooms (1st) Inte

Lesson Style Seminar Lesson Style
(More Details) Face-to-face

The students will have a farming experience at the University farm, lodging at a hotel near Hiroshima university.

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 3 : Undergraduate High-Intermediate

Course Area（Area） 26 : Biological and Life Sciences

Course Area（Discipline） 01 : Agricultural Sciences

Eligible Students 3：Undergraduate High-Intermediate

Keywords Dairy cows, Dairy farming, Smart technology, Big-data analysis, Sensing, Milk production Animal welfare

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline Based on the experience dairy cow managements for milk production, health and reproduction and so on in the University farm, the students learn how to use the big data, application of the information technology for the society through the lectures, the farm practice and discussion among the professors and the students.

Class Schedule 16th/Sep (Tue)
The students get together at Saijo station of JR at 13:00, and go to the University Farm.
Introduction of dairy farming, presentation of the assignment, and seeing the outline of the University farm.
17th/Sep (Wed)
Morning class
・Management of milk production with automatic milking system.
・Management of milking calves with milk-feeding robot.
Afternoon class
・Basic and application of the image technology: Does 3D image identification replace the eyes of the farm manager?
・Basic and application of sensing technology: Can the sensing tool find the change in cows' health condition before the farm managers?
18th/Sep (Thu)
Morning
・Big data analysis Ⅰ: The data available from some automatic management facilities.
・Big data analysis Ⅱ: Can we predict future of dairy cows with big data analysis?
Afternoon
・Big data analysis Ⅲ: The living dairy cows do not perform as predicted?
・Preparation for the assignment research presentation.
19th/Sep (Fri)
Morning
The presentation of the assignment research by each group.

In the afternoon, students go to Saijo station of JR by the charter bus.

The report assignment for each student will be presented the last day.

Text/Reference
Books,etc. The handouts will be presented.

PC or AV used in
Class,etc. Text, Handouts, Microsoft Teams, moodle

(More Details) The students are evaluated on the basis of the attitude towards attending classes, the presentation and report presented after the class.
If a student cannot follow the rules in the farm, the credit might not be given.

Learning techniques to be incorporated Discussions, Post-class Report

Suggestions on
Preparation and
Review Please collect information of dairy production and dairy products you eat or drink before the class. You can see the production system for those dairy products and discuss what is necessary to achieve the efficient production system based on the animal welfare.

Requirements

Grading Method The presentation and discussion in the class and post-class report.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2025Year	School/Graduate School	School of Applied Biological Science
Lecture Code	L6028000	Subject Classification	Specialized Education
Subject Name	スマート酪農科学演習
Subject Name （Katakana）	スマートラクノウカガクエンシュウ
Subject Name in English	Practice of Smart Dairy Science
Instructor	KUROKAWA YUUZOU,SUZUKI NAOKI,SUGINO TOSHIHISA,To be announced.
Instructor (Katakana)	クロカワ　ユウゾウ,スズキ　ナオキ,スギノ　トシヒサ,タントウキョウインミテイ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, Intensive
Days, Periods, and Classrooms	(1st) Inte
Lesson Style	Seminar	Lesson Style (More Details)	Face-to-face
The students will have a farming experience at the University farm, lodging at a hotel near Hiroshima university.
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	3 : Undergraduate High-Intermediate
Course Area（Area）	26 : Biological and Life Sciences
Course Area（Discipline）	01 : Agricultural Sciences
Eligible Students	3：Undergraduate High-Intermediate
Keywords	Dairy cows, Dairy farming, Smart technology, Big-data analysis, Sensing, Milk production Animal welfare
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	Based on the experience dairy cow managements for milk production, health and reproduction and so on in the University farm, the students learn how to use the big data, application of the information technology for the society through the lectures, the farm practice and discussion among the professors and the students.
Class Schedule	16th/Sep (Tue) The students get together at Saijo station of JR at 13:00, and go to the University Farm. Introduction of dairy farming, presentation of the assignment, and seeing the outline of the University farm. 17th/Sep (Wed) Morning class ・Management of milk production with automatic milking system. ・Management of milking calves with milk-feeding robot. Afternoon class ・Basic and application of the image technology: Does 3D image identification replace the eyes of the farm manager? ・Basic and application of sensing technology: Can the sensing tool find the change in cows' health condition before the farm managers? 18th/Sep (Thu) Morning ・Big data analysis Ⅰ: The data available from some automatic management facilities. ・Big data analysis Ⅱ: Can we predict future of dairy cows with big data analysis? Afternoon ・Big data analysis Ⅲ: The living dairy cows do not perform as predicted? ・Preparation for the assignment research presentation. 19th/Sep (Fri) Morning The presentation of the assignment research by each group. In the afternoon, students go to Saijo station of JR by the charter bus. The report assignment for each student will be presented the last day.
Text/Reference Books,etc.	The handouts will be presented.
PC or AV used in Class,etc.	Text, Handouts, Microsoft Teams, moodle
(More Details)	The students are evaluated on the basis of the attitude towards attending classes, the presentation and report presented after the class. If a student cannot follow the rules in the farm, the credit might not be given.
Learning techniques to be incorporated	Discussions, Post-class Report
Suggestions on Preparation and Review	Please collect information of dairy production and dairy products you eat or drink before the class. You can see the production system for those dairy products and discuss what is necessary to achieve the efficient production system based on the animal welfare.
Requirements
Grading Method	The presentation and discussion in the class and post-class report.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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