Digital and Precision Technologies in Dairy Cattle Farming: A Bibliometric Analysis

Area of Science:

• Agricultural Technology
• Data Science in Agriculture
• Animal Science

Background:

• Digital and precision technologies are revolutionizing dairy cattle management.
• These advancements aim to enhance animal health, welfare, and milk production efficiency.
• The integration of data-driven approaches is crucial for modern livestock farming.

Purpose of the Study:

• To conduct a bibliometric analysis of research on digital and precision technologies in dairy farming.
• To map the research landscape, identify key themes, and analyze author collaborations.
• To understand the evolution and impact of these technologies on dairy production.

Main Methods:

• Bibliometric analysis of 198 research papers from 2008 to November 2023.
• Utilized Scopus and Web of Science databases for literature retrieval.
• Employed R (Bibliometrix, Biblioshiny) and VOSviewer for data analysis and visualization.

Main Results:

• Key journals include 'Computers and Electronics in Agriculture' and 'Journal of Dairy Science'.
• Emerging technologies like machine learning, deep learning, and computer vision are prominent.
• Applications focus on behavioral monitoring, cattle identification, and thermal stress management.

Conclusions:

• Digital and precision livestock farming significantly enhance decision-making for improved dairy herd health and efficiency.
• These technologies are pivotal for advancing sustainable dairy production practices.
• The study highlights the transformative impact of digital tools on modern cattle management.