Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Smart Agriculture ZFZ204 Turkish Compulsory 4. Semester 2 + 0 2.0 3.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to Face
Course Coordinator
Instructor(s)
Goals The objective of this course is to enable students to comprehend the fundamental principles and concepts of digital agriculture technologies, to delineate the technologies, methodologies, and techniques utilized in smart farming, and further, to facilitate their understanding and interpretation of smart livestock systems and applications, thereby allowing for their practical implementation
Course Content Fundamental concepts in smart agriculture
Learning Outcomes
# Öğrenme Kazanımı
1 The student defines the concept of smart farming and explicates its fundamental characteristics.
2 The student explains and classifies the core technologies and equipment utilized in smart farming.
3 The student plans and implements the application areas of Geographic Information Systems (GIS) in agricultural practices.
4 The student collects, analyzes, and interprets agricultural data.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Characteristics of Agricultural Activities and Agricultural Policies
2. Week The Fourth Industrial Revolution and Agriculture 4.0, The National e-Agriculture Strategy
3. Week The Process of Digitalization in Agriculture
4. Week The Use of Geographic Information Systems (GIS) in Agriculture
5. Week Wireless Communication Technologies Utilized in Smart Farming (Wireless LAN Technology, Bluetooth Technology, Low-Power Wide-Area Network Solutions, Cellular Network Technologies)
6. Week Wireless Communication Technologies Utilized in Smart Farming (Big Data, Cloud Computing, Internet of Things, Agriculture, and 5G)
7. Week Precision Agriculture Practices (Digital Transformation in Agriculture, Smart Farming Applications, Driverless Tractors, and Autonomous Agricultural Vehicles)
8. Week Precision Agriculture Practices (Digital Transformation in Agriculture, Smart Farming Applications, Driverless Tractors, and Autonomous Agricultural Vehicles)
9. Week Precision Agriculture Practices (Use of Drones and UAVs, Robotic Systems and Robots)
10. Week Precision Agriculture Practices (Farm Management Systems and Feeding Systems)
11. Week Smart Livestock Applications
12. Week Smart Farming Applications in Turkey
13. Week Smart Farming Applications Worldwide
14. Week Smart Farming Applications Worldwide
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Utilizes knowledge of natural sciences and mathematics in developing various processes in their field.
2 Demonstrates adherence to ethical and deontological principles in decision-making and implementation processes.
3 Utilizes scientific and technological developments in the applications within their field.
4 Combines fundamental engineering knowledge with technical tools to solve engineering problems in their field using an analytical approach.
5 Designs all technical systems, system components, and production processes relevant to their field.
6 Implements plant and animal production processes in accordance with scientific and technical principles.
7 Utilizes data-driven core technologies in agricultural production processes.
8 Applies sustainability principles and approaches to agricultural processes.
9 Utilizes managerial and institutional knowledge related to agriculture, while considering (or observing) global and local developments.
10 Manages soil and water resources and agricultural waste sustainably by integrating scientifically based irrigation, drainage, and soil conservation systems with precision agriculture and digital water management technologies.
11 Designs agricultural machinery and equipment for agricultural production and post-harvest processes, evaluates their performance, and enhances their efficiency through automation.
12 Develops functional and environmentally sensitive solutions in the design of agricultural structures (such as greenhouses, barns, and pens) by utilizing modern engineering and construction technologies.
13 Analyzes energy efficiency for agriculture and develops effective systems by integrating biofuel production and other sustainable energy sources
15 Executes entrepreneurial projects developed based on legal and ethical boundaries by following current developments, manages them through interdisciplinary collaboration, and transfers the acquired knowledge to stakeholders.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 1 1 1 1
PY2 1 1 1 1
PY3 4 4 4 4
PY4 1 1 1 1
PY5 1 1 1 1
PY6 1 1 1 1
PY7 5 5 5 5
PY8 1 1 1 1
PY9 1 1 1 1
PY10 1 1 1 1
PY11 2 2 2 2
PY12 1 1 1 1
PY13 1 1 1 1
PY15 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Lecture notes to be provided by the faculty member in charge of the course
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Ders Dışı
Homework 4 3 12
Preparation, After Class Study 14 2 28
Research 2 3 6
Other Activities 1 0.5 0.5
Sınavlar
Midterm 1 1 1 1
Final 1 1 1
Total Workload 76.5
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 3.0