Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle
Due to the development of computing technology and different machine learning models, big data sets have gained importance in animal science as well as in many disciplines. The main objective of this study was to compare different machine learning algorithms to predict daily dry matter intake (DMI)...
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| Main Authors: | Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ankara University
2025-01-01
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| Series: | Journal of Agricultural Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/3472215 |
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