Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

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 med...

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Autor principal:	Suresh Neethirajan
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	deepfake animal welfare animal emotions artificial intelligence livestock health digital farming Veterinary medicine SF600-1100
Acceso en línea:	https://doaj.org/article/ad195ad82c2a4b838ce754dc65184c29
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spelling	oai:doaj.org-article:ad195ad82c2a4b838ce754dc65184c292021-11-30T12:06:57ZIs Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming2297-176910.3389/fvets.2021.740253https://doaj.org/article/ad195ad82c2a4b838ce754dc65184c292021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fvets.2021.740253/fullhttps://doaj.org/toc/2297-1769Deepfake 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.Suresh NeethirajanFrontiers Media S.A.articledeepfakeanimal welfareanimal emotionsartificial intelligencelivestock healthdigital farmingVeterinary medicineSF600-1100ENFrontiers in Veterinary Science, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deepfake animal welfare animal emotions artificial intelligence livestock health digital farming Veterinary medicine SF600-1100
spellingShingle	deepfake animal welfare animal emotions artificial intelligence livestock health digital farming Veterinary medicine SF600-1100 Suresh Neethirajan Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
description	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.
format	article
author	Suresh Neethirajan
author_facet	Suresh Neethirajan
author_sort	Suresh Neethirajan
title	Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
title_short	Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
title_full	Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
title_fullStr	Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
title_full_unstemmed	Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming
title_sort	is seeing still believing? leveraging deepfake technology for livestock farming
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/ad195ad82c2a4b838ce754dc65184c29
work_keys_str_mv	AT sureshneethirajan isseeingstillbelievingleveragingdeepfaketechnologyforlivestockfarming
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Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

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