Precision Agriculture Technology University of Tsukuba

Course Overview
Lectures will cover the topics of precision agricultural technology. Recent advancements in the agricultural field of automation, satellite remote sensing, and GIS. The Bigdata analytics, IoT in agriculture and machine learning systems are used in medium to large scale of agricultural production. The outdoor agricultural mechanization to indoor plant growth monitoring and machinery utilization are the core subjects of this course. Through this course students will get exposure of large satellite remote sensing systems for agriculture, UAV-based crop monitoring and IoT advancements in agriculture.
Learning Achievement
•To develop and use reasoning skill for analyzing precision agricultural systems
•To acquire and use selected techniques to develop sustainable agricultural practices
•To become acquainted with all types of problems, measure and means to develop a smart agricultural information system.
Competence
Precision agriculture knowledge will help students to think critically and creatively based on systematic understanding of the application of advanced knowledge in agriculture how to minimize application of fertilizer, pesticides and saving water infield and in-house agriculture.
Course prerequisites
None
Grading Philosophy
Quizzes to practice different problems of smart agriculture in the classes, Project Presentation that is building a demonstration model for general to public. The model should explain what is sustainable agriculture and related problems in the existing farming systems. Grading 40% Quiz, and 60% Final Examination
Course schedule
Course type
Lectures
Online Course Requirement
Instructor
Tofael Ahamed
Other information
Lecture is conducted in English.
Hybrid or Others
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: Ahamed Tofael
Email address: tofael.ahamed.gp@u.tsukuba.ac.jp
Link to the syllabus provided by the university