Artificial Intelligence in Animal Breeding: A Game Changer
Abstract The incorporation of Artificial Intelligence across various industries, including animal industry, has resulted in substantial progress. The field of Artificial Intelligence has seen extraordinary progress, including advancements in machine learning, deep learning and neural networks, showcasing impressive potential across various sectors. By utilizing advanced data analytics and machine learning algorithms, AI can more accurately forecast breeding outcomes, aiding in the selection of animals with desirable traits like disease resistance, enhanced productivity, and improved reproductive performance. As AI continues to evolve, its integration into breeding programs is expected to accelerate improvements in livestock genetics, making breeding processes more precise and sustainable. Therefore, by capitalizing on its benefits and exploring future possibilities, AI has the capacity to greatly improve animal breeding, facilitating more efficient and accurate genetic selection.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-07
- DOI
- https://doi.org/10.5281/zenodo.14829942
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00