AI-Driven Dairy Farming: A Case Study of Technological Adoption and Organizational Adaption in a Czech SME
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F25%3AN0101130" target="_blank" >RIV/71226401:_____/25:N0101130 - isvavai.cz</a>
Result on the web
<a href="https://www.ea.bg.ac.rs/index.php/EA/article/view/2461" target="_blank" >https://www.ea.bg.ac.rs/index.php/EA/article/view/2461</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.59267/ekoPolj25041437S" target="_blank" >10.59267/ekoPolj25041437S</a>
Alternative languages
Result language
angličtina
Original language name
AI-Driven Dairy Farming: A Case Study of Technological Adoption and Organizational Adaption in a Czech SME
Original language description
This paper analyzes the use of artificial intelligence (AI) and smart technologies in dairy cattle farming through a case study of the Czech SME Agrosoft. The study assesses how AI-based management systems affect operational efficiency, animal welfare, and environmental sustainability, and identifies challenges in their implementation. It focuses on automated milking, thermal imaging for health monitoring, and IoT-supported environmental control. A qualitative approach was applied, combining semi structured interviews with developers and implementation specialists with an analysis of internal documentation. The findings show that AI enables earlier detection of health issues, more efficient feeding and barn-climate control, and reduced labor demands, contributing to improved herd welfare and lower operating costs. At the same time, the research highlights organizational barriers, especially the need for staff training and gradual workflow adaptation. The paper concludes that AI can significantly advance sustainable, welfare-oriented livestock farming, provided that farms ensure sufficient technological readiness and human-centered change management.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ekonomika poljoprivreda-Economic of Agriculture
ISSN
0352-3462
e-ISSN
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Volume of the periodical
72
Issue of the periodical within the volume
4
Country of publishing house
RS - THE REPUBLIC OF SERBIA
Number of pages
16
Pages from-to
1437-1452
UT code for WoS article
001651646900018
EID of the result in the Scopus database
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