Rapor Tarihi: 27.03.2026 01:40
| 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 | 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. |
| # | 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 | Uses science and math knowledge to develop various processes in the field. | ||||||
| 2 | Demonstrates behavior consistent with ethical and deontological principles in decision-making and implementation processes. | ||||||
| 3 | It is used in applications in the field of scientific and technological developments. | ✔ | |||||
| 4 | Integrates fundamental engineering knowledge with technical tools to solve engineering problems in the field using an analytical approach. | ||||||
| 5 | Designs all technical systems, system components, and production processes related to their field. | ||||||
| 6 | It implements plant and animal production processes in accordance with scientific and technical principles. | ||||||
| 7 | It uses data-driven core technologies in the agricultural sector in production processes. | ✔ | |||||
| 8 | Applies sustainability principles and approaches to agricultural processes. | ||||||
| 9 | Uses administrative and institutional information related to agriculture, taking into account global and local developments. | ||||||
| 10 | By analyzing the life dynamics of plant diseases, harmful organisms, and weeds, it develops innovative solutions to these problems. | ||||||
| 11 | Effectively applies diagnostic, monitoring, and detection techniques and digital software used in the field of plant protection. | ✔ | |||||
| 12 | Applies plant protection products using modern techniques and technological tools in accordance with their modes of action and safe use principles. | ||||||
| 13 | Effectively manages integrated pest management methods in accordance with ecological principles and sustainable agriculture practices. | ||||||
| 14 | Plants protection practices are planned and implemented in accordance with national and international regulations, ethical principles, and food safety standards. | ||||||
| 15 | By collaborating with individuals from different fields of expertise, it develops entrepreneurship-focused projects based on current information. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 |
|---|---|---|---|---|---|
| PY1 | 0 | 0 | 0 | 0 | 0 |
| PY2 | 0 | 0 | 0 | 0 | 0 |
| PY3 | 4 | 4 | 4 | 4 | 4 |
| PY4 | 0 | 0 | 0 | 0 | 0 |
| PY5 | 0 | 0 | 0 | 0 | 0 |
| PY6 | 0 | 0 | 0 | 0 | 0 |
| PY7 | 5 | 5 | 5 | 5 | 5 |
| PY8 | 0 | 0 | 0 | 0 | 0 |
| PY9 | 0 | 0 | 0 | 0 | 0 |
| PY10 | 0 | 0 | 0 | 0 | 0 |
| PY11 | 2 | 2 | 2 | 2 | 2 |
| PY12 | 0 | 0 | 0 | 0 | 0 |
| PY13 | 0 | 0 | 0 | 0 | 0 |
| PY14 | 0 | 0 | 0 | 0 | 0 |
| PY15 | 4 | 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 | 4 | 56 |
|
Ders Dışı |
Research | 14 | 3 | 42 |
| Other Activities | 1 | 2 | 2 | |
|
Sınavlar |
Midterm | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
