Rapor Tarihi: 15.01.2026 17:54
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Digital Agriculture | ZFZ304 | Turkish | Compulsory | 6. Semester | 2 + 2 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to Face |
| Course Coordinator | |
| Instructor(s) | |
| Goals | The objective of the course is to provide students with knowledge concerning the historical development, fundamental concepts, and technologies of digital agriculture, to instruct them on the utilization of digital tools such as sensors, GPS, IoT, and artificial intelligence in agriculture, and to equip them with the competency to evaluate the impacts of these technologies on sustainability, productivity, and ethics. |
| Course Content | Fundamental Concepts Regarding Digital Agriculture. |
| # | Öğrenme Kazanımı |
| 1 | The student explicates the fundamental concepts and historical development of digital agriculture. |
| 2 | The student defines and evaluates the digital technologies employed in agriculture. |
| 3 | The student interprets data acquisition, analysis, and automation processes. |
| 4 | The student analyzes the contributions of digital applications to agricultural sustainability and productivity. |
| 5 | The student formulates perspectives regarding the current applications and future of digital agriculture. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Presentation of the Course Objectives and Information Package | Presentation (Preparation), Practice |
| 2. Week | The Concept and History of Digital Agriculture (Traditional, Mechanical, Digital Agriculture and Agriculture 3.0, 4.0, 5.0) | Presentation (Preparation), Practice |
| 3. Week | Digital Technologies Used in Agriculture: Sensor Technologies, GPS/GNSS Systems | Presentation (Preparation), Practice |
| 4. Week | Digital Technologies Used in Agriculture: Automation Systems (Irrigation, Fertilization, Climate Control), Digital Hardware, End-to-End Data Acquisition Systems | Presentation (Preparation), Practice |
| 5. Week | Software and Mobile Applications in Digital Agriculture | Presentation (Preparation), Practice |
| 6. Week | Internet of Things (IoT) Remote Monitoring and Intervention | Presentation (Preparation), Practice |
| 7. Week | Data collection, processing, and utilization (data type, data collection method, data processing, cloud systems) | Presentation (Preparation), Practice |
| 8. Week | Artificial intelligence and automation in agriculture | Presentation (Preparation), Practice |
| 9. Week | Soil management and yield monitoring | Presentation (Preparation), Practice |
| 10. Week | Smart irrigation/fertilization/nutrient management systems | Presentation (Preparation), Practice |
| 11. Week | Digital monitoring of plant diseases and pests | Presentation (Preparation), Practice |
| 12. Week | Digital agriculture applications and case studies | Presentation (Preparation), Practice |
| 13. Week | Sustainability, ethical, social, and legal dimensions in digital agriculture | Presentation (Preparation), Practice |
| 14. Week | Benefits, limitations, and future of digital agriculture and overall assessment | Presentation (Preparation), Practice |
| 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 | ✔ | |||||
| 14 | Analyzes precision agriculture data (such as satellite imagery, unmanned aerial vehicles (UAVs), and handheld radiometers) to develop and implement systems that optimize resource management. | ✔ | |||||
| 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. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 |
|---|---|---|---|---|---|
| PY1 | 1 | 1 | 1 | 1 | 1 |
| PY2 | 1 | 1 | 1 | 1 | 1 |
| PY3 | 4 | 4 | 4 | 4 | 4 |
| PY4 | 1 | 1 | 1 | 1 | 1 |
| PY5 | 1 | 1 | 1 | 1 | 1 |
| PY6 | 4 | 4 | 4 | 4 | 4 |
| PY7 | 5 | 5 | 5 | 5 | 5 |
| PY8 | 1 | 1 | 1 | 1 | 1 |
| PY9 | 1 | 1 | 1 | 1 | 1 |
| PY10 | 1 | 1 | 1 | 1 | 1 |
| PY11 | 1 | 1 | 1 | 1 | 1 |
| PY12 | 2 | 2 | 2 | 2 | 2 |
| PY13 | 1 | 1 | 1 | 1 | 1 |
| PY14 | 4 | 4 | 4 | 4 | 4 |
| PY15 | 5 | 5 | 5 | 5 | 5 |
| 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 | 4 | 56 |
|
Ders Dışı |
Research | 14 | 3 | 42 |
| Other Activities | 1 | 2 | 2 | |
|
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
