Acta Scientific Veterinary Sciences (ISSN: 2582-3183)

Conceptual Paper Volume 6 Issue 7

Concept of Artificial Intelligence, Machine Learning and Use of Ann in Animal Breeding

Vaibhav Patel1 Ankita Patel2* and Vikas Diwakar3

1Division of Animal Genetics and Breeding, IVRI, Izatnagar, Bareilly, Uttar Pradesh, India
2Division of Animal Nutrition, NDRI, Karnal, Haryana, India
3Division of Animal Genetics and Breeding, NDRI, Karnal

*Corresponding Author: Ankita Patel, Division of Animal Nutrition, NDRI, Karnal, Haryana, India.

Received: May 23, 2024; Published: June 25, 2024

Abstract

Introduction

Artificial Intelligence (AI) is a branch of computer science that focuses on creating intelligent machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and natural language processing. AI systems use various techniques such as machine learning, deep learning, natural language processing, and computer vision to analyze and interpret large amounts of data and make predictions, recommendations, or decisions.

References

  1. Gianola D and de los Campos G. “Inferring genetic values for quantitative traits with regression models”. Genetics3 (2018): 1391-1404.
  2. Gengler N., et al. “A neural network approach to predicting genetic merit of dairy bulls from their ancestry”. Journal of Dairy Science8 (2007): 3871-3879.
  3. Hafez M and Liang Y. “Artificial neural networks for animal breeding: Review”. Journal of Animal Science and Biotechnology1 (2017): 44.
  4. Meuwissen TH and Goddard ME. The use of neural networks in animal breeding. “Proceedings of the 5th World Congress on Genetics Applied to Livestock Production, Guelph, Ontario, Canada” (1996): 21-26.
  5. Sheng Y and Kistemaker GJ. “A review of artificial neural networks for animal breeding”. Computers and Electronics in Agriculture (2016).

Citation

Citation: Ankita Patel., et al. “Concept of Artificial Intelligence, Machine Learning and Use of Ann in Animal Breeding". Acta Scientific Veterinary Sciences 6.7 (2024): 21-24.

Copyright

Copyright: © 2024 Ankita Patel., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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Impact Factor1.008

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