数字畜牧技术作为边界对象:研究对农场管理和动物福利的影响
Juliette Schillings1, Richard Bennett1, Françoise Wemelsfelder2
1School of Agriculture, Policy and Development, University of Reading, Reading, UK.
Animal welfare (South Mimms, England)
|March 15, 2024
概括
数字畜牧技术 (DLT) 显示了通过促进利益相关者之间的学习和沟通来改善动物福利的潜力. 优先考虑深入了解动物福利的DLT是大幅改善动物福利的关键.
科学领域:
- 农业科学 农业科学
- 动物福利科学 动物福利科学
- 技术社会学技术的社会学.
背景情况:
- 数字畜牧技术 (DLT) 对动物健康和福利有潜在的好处,但它们对福利改善的影响仍然不确定.
- 要了解DLT如何影响农场管理和动物福利,需要研究DLT所促进的学习过程.
研究的目的:
- 通过边界对象和学习的透视来探索DLT对农场管理和动物福利的影响.
- 调查不同的DLT如何促进不同类型的学习 (单循环与双循环) 以及它们对动物福利的后续影响.
主要方法:
- 采用定性方法,在涉及DLT开发和农场测试的两个案例研究中,对31个利益相关者进行了深入的半结构化访谈.
- 利用单独调查的结果来补充采访数据.
主要成果:
- DLT证明了提高动物福利的潜力,其影响因技术而异.
- 两种DLT都促进了利益相关者的讨论,并改善了管理策略.
- 一个DLT特别促进了对动物情感福祉和积极福利机会的更深入反思.
结论:
- 通过促进沟通和学习,DLT可以显著提高动物福利.
- 促进对动物福利层面的更深入理解和鼓励价值重构的技术最有效.
- 未来的DLT开发应该优先考虑这些方面,以最大限度地改善动物福利.
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