JOURNAL ARTICLE

Emerging Precision Ranching Technology Is Enabling the Development of a "smart" Biome.

  • Published In: Journal of Animal Science, 2023, v. 101. P. 140 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Church, John S.; Bork, Edward 3 of 3

Abstract

The article focuses on recent advances in digital technologies and machine learning applications in livestock research and management. It highlights the use of wearable sensors, remote sensing via Remotely Piloted Aircraft Systems (RPAS or drones), and data-driven modeling techniques to monitor animal traits, behavior, and environmental conditions across spatial and temporal scales. Specific examples include predicting dairy cow performance from early growth data, assessing cattle heat stress using drone-based thermal imaging, and employing machine learning (ML) and deep learning (DL) algorithms to predict body weight in cattle and swine. These technologies collectively aim to enhance animal health, welfare, and the sustainability of livestock production systems.

Additional Information

  • Source:Journal of Animal Science. 2023/11, Vol. 101, p140
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2023
  • ISSN:0021-8812
  • DOI:10.1093/jas/skad281.171
  • Accession Number:173680628
  • Copyright Statement:Copyright of Journal of Animal Science is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.