| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | OT200Y | Smart Agriculture Technologies and Applications | Elective | 1 | 2 | 6 |
|
| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| The aim of this course is to monitor agricultural assets and production processes, perform analyzes and optimize processes by using current information and data technologies. |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Doruk AYBERKİN |
| Learning Outcomes |
| 1 | They will be able to explain the basic principles and concepts of the use of information and communication technologies in the agricultural sector. | | 2 | They will be able to define concepts such as Agriculture 4.0/5.0, precision agriculture, digital agriculture and explain the relationships between these concepts. | | 3 | They will be able to explain how current technologies such as image processing, geographic information systems, big data and analysis, artificial intelligence and sensor technologies can be used in agricultural processes. | | 4 | They will be able to create a future vision by following innovations in the field of smart agriculture. |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| - |
| Recommended Optional Programme Components |
| - |
| Course Contents |
| This course introduces the use of information and communication technologies in the agricultural sector and concepts such as Agriculture 4.0/5.0 and precision agriculture. In this context, the course aims to provide information on: Digital agriculture and its benefits, Image processing, Geographic Information Systems (GIS), Sensors, Data collection and analysis, Decision support systems, Automation and robotics, Product traceability, Artificial intelligence, Big data, Ethical issues in agriculture. The course also aims to teach the basic knowledge, methods, software, and hardware used for these purposes. |
| Weekly Detailed Course Contents |
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| Recommended or Required Reading |
| Related academic articles
Sustainable Smart Agriculture Technologies- Arzu Baloğlu
Smart Agriculture - Govind Singh Patel, Amrita Rai, Nripendra Narayan Das, R.P. Singh |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 50 | | Attending Lectures | 1 | 20 | | Self Study | 1 | 30 | | SUM | 100 | |
| Final Examination | 1 | 50 | | Project Presentation | 1 | 50 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | - |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 3 | 42 |
| Discussion | 1 | 14 | 14 |
| Question-Answer | 1 | 14 | 14 |
| Report Preparation | 2 | 10 | 20 |
| Report Presentation | 1 | 3 | 3 |
| Criticising Paper | 12 | 3 | 36 |
| Self Study | 14 | 3 | 42 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 1 | 1 | 1 | 1 | 1 | 3 | 2 | 1 | 4 | 4 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | 5 | 1 | | | 1 | 1 | | | LO2 | 3 | 2 | 2 | 3 | 1 | 3 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 3 | 1 | | | 1 | 1 | | | LO3 | 1 | 1 | 1 | 1 | 1 | 1 | 4 | 2 | 4 | 3 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 5 | 1 | | | 1 | 1 | | | LO4 | 2 | 1 | 1 | 2 | 1 | 3 | 2 | 1 | 2 | 4 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 4 | 1 | | | 1 | 1 | |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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