
| Course Code | : ZST527 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
It is aimed for students taking this course to understand artificial intelligence techniques and to learn how to use these techniques in solving various problems in milk and dairy products technology. Especially artificial neural networks, fuzzy logic and genetic algorithm are used in the Dairy Industry. Modeling applications such as product grading, classification, process modeling and optimization, quality control monitoring, conversion of images to numerical data, product design, control of storage systems, mastitis prediction, effectiveness of heat treatment are carried out in dairy products. These topics are explained in line with the purpose of the course.
In this course, the use of artificial neural networks, fuzzy logic and genetic algorithm in dairy technology is examined. Applications of artificial intelligence in milk and dairy products technology include product grading, classification, process modeling and optimization, monitoring quality control, converting images into digital data, product design, temperature and humidity control of storage systems, control of the effectiveness of heat treatment, raw milk quality and mastitis control. topics are examined.