Use of MARS Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds
This research was carried out with the purpose of estimating hot carcass weight by using parameters such as race, carcass weight and age with Multivariate Adaptive Regression Spline (MARS) algorithm. To achieve this goal, 700 cattle data belonging to the years 2017-2018, which were taken in equal nu...
Saved in:
| Main Author: | Demet Çanga |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ankara University
2022-04-01
|
| Series: | Journal of Agricultural Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/1370899 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Guanidinoacetic Acid and Its Impact on the Performance, Carcass and Meat Quality of Growing and Finishing Nellore Cattle
by: Letícia Carolina Bortolanza Soares, et al.
Published: (2025-04-01) -
Carcass quality of autochthonous Cika cattle
by: Mojca SIMČIČ, et al.
Published: (2008-12-01) -
Traumatic injuries detected at slaughter in cattle: impact of production system and season on animal welfare and meat condemnation in Sweden
by: Josefine Jerlström, et al.
Published: (2025-04-01) -
The Influence of Maternal Nutrition on the Lifetime Performance of Nellore Cattle Offspring
by: Gabriela do Vale Pombo, et al.
Published: (2025-05-01) -
GALLOWAY BREED IN BULGARIA – CONTRIBUTION TO SUSTAINABLE BEEF CATTLE BREEDING
by: D. Yarkov
Published: (2022-06-01)