Rapor Tarihi: 27.03.2026 01:41
| 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 primary objective of the course is to provide students with a comprehensive understanding and practical competencies regarding the fundamental principles, core concepts, and diverse application areas of digital agricultural technologies. |
| Course Content | Fundamental concepts and theoretical frameworks pertaining to smart agriculture |
| # | Öğrenme Kazanımı |
| 1 | Defines the concept of smart agriculture and explicates its fundamental characteristics. |
| 2 | Explains and categorizes the fundamental technologies and equipment utilized within the framework of smart agriculture. |
| 3 | Elucidates the application areas of Geographical Information Systems (GIS) in agricultural practices and illustrates them with specific examples |
| 4 | Collects, analyzes, and interprets agricultural data |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Characteristics of Agricultural Activities and Agricultural Policies | Interview, Presentation (Preparation) |
| 2. Week | The Fourth Industrial Revolution, Agriculture 4.0, and the National e-Agriculture Strategy | Interview, Presentation (Preparation) |
| 3. Week | The Digitalization Process in Agriculture | Interview, Presentation (Preparation) |
| 4. Week | The Application of Geographic Information Systems (GIS) in Agriculture | Interview, Presentation (Preparation) |
| 5. Week | Wireless Communication Technologies Utilized in Smart Agriculture (Wireless LAN Technology, Bluetooth Technology, Low-Power Wide-Area Network Solutions, Cellular Network Technologies) | Interview, Presentation (Preparation) |
| 6. Week | Wireless Communication Technologies Utilized in Smart Agriculture (Big Data, Cloud Computing, the Internet of Things, Agriculture and 5G) | Interview, Presentation (Preparation) |
| 7. Week | Precision Agriculture Applications (Digital Transformation in Agriculture, Smart Farming Applications, Driverless Tractors, and Autonomous Agricultural Vehicles) | Interview, Presentation (Preparation) |
| 8. Week | Precision Agriculture Applications (Digital Transformation in Agriculture, Smart Farming Applications, Driverless Tractors, and Autonomous Agricultural Vehicles) | Interview, Presentation (Preparation) |
| 9. Week | Precision Agriculture Applications (Utilization of Drones and UAVs, Robotic Systems and Robots) | Interview, Presentation (Preparation) |
| 10. Week | Precision Agriculture Applications (Farm Management Systems and Feeding Systems) | Interview, Presentation (Preparation) |
| 11. Week | Smart Livestock Farming Applications | Interview, Presentation (Preparation) |
| 12. Week | Smart Agriculture Applications in Turkey | Interview, Presentation (Preparation) |
| 13. Week | Global Applications of Smart Agriculture | Interview, Presentation (Preparation) |
| 14. Week | Smart Agricultural Practices on a Global Scale | Interview, Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | .Applies knowledge of natural sciences and mathematics to the development of various processes within the field. | ✔ | |||||
| 2 | Acts in accordance with ethical and deontological principles in decision-making and implementation processes. | ✔ | |||||
| 3 | Utilizes scientific and technological developments in field-related applications. | ✔ | |||||
| 4 | Solves engineering problems within the field through an analytical approach by integrating fundamental engineering knowledge with technical tools. | ✔ | |||||
| 5 | Designs all technical systems, system components, and production processes related to the field. | ✔ | |||||
| 6 | Implements crop and livestock production processes in accordance with scientific and technical principles. | ✔ | |||||
| 7 | Utilizes data-driven core technologies within the agricultural sector in production processes. | ✔ | |||||
| 8 | Applies sustainability principles and approaches to agricultural processes. | ✔ | |||||
| 9 | Utilizes managerial and institutional knowledge for agriculture, taking into account global and local developments. | ✔ | |||||
| 10 | Integrates fundamental scientific knowledge in the fields of genetics, molecular biology, microbiology, and biochemistry into agricultural biotechnology processes through a critical approach. | ✔ | |||||
| 11 | Produces innovative and sustainable biotechnological solutions to agricultural problems by effectively utilizing laboratory and field applications. | ✔ | |||||
| 12 | Effectively utilizes statistical, mathematical, and bioinformatic tools to analyze biological data. | ✔ | |||||
| 13 | Fulfills professional and social responsibilities by mastering the ethical, legal, intellectual property, and biosafety dimensions of biotechnological applications. | ✔ | |||||
| 14 | Effectively shares project findings obtained by working efficiently in interdisciplinary projects using effective presentation techniques. | ✔ | |||||
| 15 | Demonstrates lifelong learning and entrepreneurship skills by generating innovative ideas and continuously following scientific and technological developments in the field. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 1 | 1 | 1 | 1 |
| PY2 | 1 | 1 | 1 | 1 |
| PY3 | 5 | 5 | 5 | 5 |
| PY4 | 1 | 1 | 1 | 1 |
| PY5 | 3 | 3 | 3 | 3 |
| PY6 | 1 | 1 | 1 | 1 |
| PY7 | 4 | 4 | 4 | 4 |
| PY8 | 1 | 1 | 1 | 1 |
| PY9 | 1 | 1 | 1 | 1 |
| PY10 | 1 | 1 | 1 | 1 |
| PY11 | 1 | 1 | 1 | 1 |
| PY12 | 1 | 1 | 1 | 1 |
| PY13 | 1 | 1 | 1 | 1 |
| PY14 | 1 | 1 | 1 | 1 |
| PY15 | 4 | 4 | 4 | 4 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 2 | 28 |
|
Ders Dışı |
Homework | 2 | 2 | 4 |
| Preparation, After Class Study | 14 | 1.5 | 21 | |
| Research | 2 | 2 | 4 | |
| Other Activities | 7 | 2.5 | 17.5 | |
|
Sınavlar |
Midterm | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Total Workload | 76.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 3.0 | ||
