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Is seeing still believing? Leveraging deepfake technology for livestock farming

By S. Neethirajan

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Abstract

Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential that could be applied to not just digital media, but also to medicine, biology, affective science, and agriculture, just to name a few. Due to the ability to generate big datasets based on real data distributions, deepfake could also be used to positively impact non-human animals such as livestock. Generated data using Generative Adversarial Networks, one of the algorithms that deepfake is based on, could be used to train models to accurately identify and monitor animal health and emotions. Through data augmentation, using digital twins, and maybe even displaying digital conspecifics (digital avatars or metaverse) where social interactions are enhanced, deepfake technologies have the potential to increase animal health, emotionality, sociality, animal-human and animal-computer interactions and thereby productivity, and sustainability of the farming industry. The interactive 3D avatars and the digital twins of farm animals enabled by deepfake technology offers a timely and essential way in the digital transformation toward exploring the subtle nuances of animal behavior and cognition in enhancing farm animal welfare. Without offering conclusive remarks, the presented mini review is exploratory in nature due to the nascent stages of the deepfake technology.

Date 2021
Publication Title Frontiers in Veterinary Science
Volume 7
Issue November
DOI 10.3389/fvets.2021.740253
Author Address Farmworx, Adaptation Physiology Group, Animal Sciences Department, Wageningen University and Research, Wageningen, Netherlands.suresh.neethirajan@wur.nl
Additional Language English
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Tags
  1. Analytics
  2. Animal behavior
  3. Animal health and hygiene
  4. Animal welfare
  5. Anthrozoology
  6. Behavioral research
  7. Communication
  8. Documentation
  9. Domestic animals
  10. Films
  11. Libraries
  12. Livestock
  13. Livestock farming
  14. Machine learning
  15. open access
  16. radio
  17. sustainability
  18. Telecommunications
  19. Television
  20. Veterinary sciences
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