| 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 |
| # | 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. |
| 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 |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Uses knowledge of natural sciences and mathematics to develop various processes in the field. | ||||||
| 2 | Demonstrates behavior in line with ethical and deontological principles in decision-making and implementation processes. | ||||||
| 3 | Applies scientific and technological developments in practices within the field. | ✔ | |||||
| 4 | Integrates basic 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 the field. | ||||||
| 6 | Applies plant and animal production processes in accordance with scientific and technical principles. | ✔ | |||||
| 7 | Uses data-oriented basic technologies of the agricultural sector in production processes. | ✔ | |||||
| 8 | Applies sustainability principles and approaches to agricultural processes. | ||||||
| 9 | Uses managerial and institutional knowledge for agriculture, taking into account global and local developments. | ||||||
| 10 | Manages the cultivation, breeding, and adaptation processes of field crops and applies sustainable agricultural principles considering biodiversity and ecological balance. | ||||||
| 11 | Manages seed standards effectively in accordance with legislation. | ||||||
| 12 | Diagnoses yield and quality problems in field crops and develops effective solutions. | ✔ | |||||
| 13 | Develops innovative decision support systems based on scientific evidence using land-based digital agriculture technologies in field farming. | ||||||
| 14 | Manages field crop production with sustainable and entrepreneurial business models in line with legal and ethical responsibilities, global policies, and market dynamics. | ||||||
| 15 | Uses effective communication and leadership skills to carry out multifaceted agricultural projects, including extension activities for farmers. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 0 | 0 | 0 | 0 |
| PY2 | 0 | 0 | 0 | 0 |
| PY3 | 4 | 4 | 4 | 4 |
| PY4 | 0 | 0 | 0 | 0 |
| PY5 | 0 | 0 | 0 | 0 |
| PY6 | 4 | 4 | 4 | 4 |
| PY7 | 5 | 5 | 5 | 5 |
| PY8 | 0 | 0 | 0 | 0 |
| PY9 | 0 | 0 | 0 | 0 |
| PY10 | 0 | 0 | 0 | 0 |
| PY11 | 0 | 0 | 0 | 0 |
| PY12 | 4 | 4 | 4 | 4 |
| PY13 | 0 | 0 | 0 | 0 |
| PY14 | 0 | 0 | 0 | 0 |
| PY15 | 5 | 5 | 5 | 5 |
| 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 | ||
