
| Course Code | : ZT477 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 3 |
The objective is to provide students with a theoretical understanding of how artificial intelligence technologies are utilized in the livestock sector, the problems they address, examples of applications from around the world, and their potential for the future.
It encompasses topics such as the fundamentals of artificial intelligence, machine learning, big data analysis, image processing, monitoring animal behavior and health, animal feeding, genomic breeding strategies, farm automation, decision support systems, ethical considerations, and sector-specific examples.