
| Course Code | : DJTA024 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
The objective of this course is to provide students with theoretical knowledge and practical skills in smart agriculture technologies, precision agriculture applications, sensor technologies, geographic information systems, internet of things, artificial intelligence, and data analytics. Students are expected to recognize current technologies used in agricultural production processes, understand their integration, and develop strategies for sustainable agricultural practices.
Introduction to smart agriculture technologies and basic concepts. Principles and applications of precision agriculture. Agricultural sensor technologies and data collection. Geographic information systems and global positioning systems. Internet of things applications and sensor networks. Data analytics and artificial intelligence. Agricultural robotics, automation, and autonomous systems. Unmanned aerial vehicles and remote sensing. Smart irrigation systems. Crop health monitoring and disease detection. Decision support systems and digital farm management.
| 1. | Comprehend the basic principles and components of smart agriculture technologies. |
| 2. | Know the applications of precision agriculture, sensor technologies, and geographic information systems in agricultural production. |
| 3. | Integrate internet of things, data analytics, and artificial intelligence applications into agricultural processes. |
| 4. | Know agricultural robotics, autonomous systems, and remote sensing technologies. |
| 5. | Develop smart solutions for sustainable agricultural practices. |
| 1. | Precision Applied Agricultural Technology Vahit Kirişçi, M. Keskin, S.M. Say, S.G. Keskin ISBN: 975-591-066-2 |
| 2. | Basic Concepts in Remote Atilla Sesören Mart Matbaacılık S.Ltd.Şti |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %5 |
| Quiz | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Assignment | 1 | 3 | 3 | 6 |
| Individual Work | 2 | 2 | 2 | 8 |
| Quiz | 1 | 2 | 1 | 3 |
| Midterm Examination | 1 | 0 | 1 | 1 |
| Final Examination | 1 | 0 | 1 | 1 |
| TOTAL WORKLOAD (hours) | 47 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | PÇ-16 | PÇ-17 | PÇ-18 | PÇ-19 | PÇ-20 | |
OÇ-1 | 4 | 4 | 5 | 4 | 4 | 5 | ||||||||||||||
OÇ-2 | 5 | 4 | 5 | 4 | 4 | 4 | 4 | 5 | 2 | 5 | ||||||||||
OÇ-3 | 4 | 5 | 5 | 5 | 3 | 4 | 3 | 3 | 5 | 5 | ||||||||||
OÇ-4 | 3 | 3 | 5 | 4 | 4 | 3 | 3 | 3 | 4 | 2 | 5 | |||||||||
OÇ-5 | 4 | 4 | 3 | 4 | 4 | 3 | 4 | 3 | 5 | 5 | 4 | 4 | 4 | 5 | ||||||