シラバス参照

授業情報/Class Information

科目一覧へ戻る 2024/03/29 現在

基本情報/Basic Information

開講科目名
/Course
農業生産機械学特論B/Agricultural Machinery B
時間割コード
/Course Code
A244000012
ナンバリングコード
/Numbering Code
開講所属
/Course Offered by
農学生命科学研究科/
曜日コマ
/Day, Period
火 2
開講区分
/Semester offered
後期/second semester
単位数
/Credits
1.0
学年
/Year
1,2
主担当教員
/Main Instructor
叶 旭君/YE XUJUN
科目区分
/Course Group
大学院(修士課程) 
教室
/Classroom
必修・選択
/Required/Elective
授業形式
/Class Format
メディア授業
/Media lecture

担当教員情報/Instructor Information

教員名
/Instructor
教員所属名
/Faculty/Department
叶 旭君/YE XUJUN 農学生命科学部/
難易度(レベル)
/Level
Level 5
対応するDP
/DP
International Horticulture and Agronomy Course DP1
授業としての具体的到達目標
/Concrete arrival target as the class
The objective of the course is to empower students with the foundational knowledge of cutting-edge smart agriculture technologies.
授業の概要
/Summary of the class
This course has been meticulously designed to offer a comprehensive introduction to modern agricultural machinery. The key topics covered include:
(1) Principles and Methods for Measuring Physical and Chemical Characteristics of Crops and Soils: We delve into the essential techniques for assessing crop and soil properties, with a focus on mechanization, automation, and labor-saving approaches in agricultural production.
(2) Exploration of Cutting-Edge Technologies: We provide an in-depth overview of the latest advancements and emerging technologies in the field. Topics include automation, precision agriculture, plant factories, and robotics.
授業の内容予定
/Contents plan of the class
(1) Labor-Saving Effects of Agricultural Mechanization
(2) Physical Properties of Agricultural Products and Measurement Methods
(3) Post-Harvest Facilities and Machinery
(4) Remote Sensing, GPS, and GIS Applications in Agriculture
(5) Precision Agriculture, Smart Farming, and Plant Factories (Leveraging Big Data, AI, and IoT)
(6) Current State and Future Prospects of Agricultural Robots
(7) Farm Security and Safety Measures
(8) General Discussion
成績評価方法及び採点基準
/A scholastic evaluation method and marking standard
Regular Evaluation: This component accounts for 40% of the overall evaluation and includes factors such as responses to questions during class and participation in discussions.
Final Evaluation: This segment carries a weight of 60% in the overall assessment. It encompasses the presentation and report.
The overall grade evaluation will be determined based on the aforementioned components.
予習及び復習等の内容
/Contents such as preparations for lessons and the review
Instructions regarding the preparation of lecture content will be provided during the first lecture.
教材・教科書
/The teaching materials, textbook
(1) Agricultural Machinery Research Association edition: Bioproduction Machinery Handbook, Corona Company.
(2) Ikeda et al.: Agricultural Machinery, 3rd Edition, Bunnyakudo.
(3) Haruna et al.: High-tech Era of Agricultural Measurement, Agriculture and Forestry Statistics Association.
参考文献
/bibliography
References will be introduced during the first lecture. Additionally, handouts containing information about the lecture content will be distributed.
留意点・予備知識
/Point to keep in mind, back ground
Nothing in particular.
授業内容に関する質問・疑義等
/Question, doubt about class contents
Office hours: Wednesday from 11:00 AM to 1:00 PM.
Please send an email before coming.
Eメールアドレス・HPアドレス
/E-mail address, HP address
yexujun[at]hirosaki-u.ac.jp
Please replace [at] with @.
学問分野1(主学問分野)
/Discipline 1
F41:社会経済農学、農業工学およびその関連分野
学問分野2(副学問分野)
/Discipline 2
F39:生産環境農学およびその関連分野
学問分野3(副学問分野)
/Discipline 3
該当なし
地域志向科目
/Local intention subject
なし
授業形態・授業方法
/Class form, class method
Both board and audiovisual equipment will be used.
科目ナンバー
/The subject number
メディア授業による著作物利用の有無について
/Whether or not copyrighted works are used in media classes
有/Yes
その他
/Others
Nothing in particular.
No. 回(日時)
/Time (date and time)
主題と位置付け(担当)
/Subjects and instructor's position
学習方法と内容
/Methods and contents
備考
/Notes
該当するデータはありません

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