JOURNAL ARTICLE
Developing Precision Agriculture Tools to Capture Behavior and Performance in Extensively Managed Sheep.
Published In: Journal of Animal Science, 2023, v. 101. P. 308 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Hess, Andrew; Huber, Scott; Bergeron, John H.; McCuin, Gary; Hess, Melanie; Shane, Tracy; Karl, Jason; Cox, Mike; Washington-Allen, Robert 3 of 3
Abstract
The article focuses on developing precision agriculture tools to capture behavior and performance traits in extensively managed sheep on rangelands. Researchers are creating automated, solar-powered, RFID-based walk-over weighing systems and using low-cost GPS units to monitor individual sheep weight, movement, and social interactions in remote, resource-limited environments. These technologies aim to measure resilience and efficiency traits over time, which can inform genetic selection for animals better adapted to harsh rangeland conditions. The goal is to enhance livestock productivity, reduce ecological impact, and improve sustainability in rangeland livestock systems despite challenges such as data reliability and remote data collection.
Additional Information
- Source:Journal of Animal Science. 2023/11, Vol. 101, p308
- Document Type:Article
- Subject Area:Agriculture and Agribusiness
- Publication Date:2023
- ISSN:0021-8812
- DOI:10.1093/jas/skad281.368
- Accession Number:173680825
- 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.)
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