Machine Learning Methods and Statistics in Ruminant Farming
A special issue of Animals (ISSN 2076-2615). This special issue belongs to the section "Animal System and Management".
Deadline for manuscript submissions: 28 February 2026
Special Issue Editors
Interests: biostatistics; bioinformatics; machine learning; cattle breeding
Special Issues, Collections and Topics in MDPI journals
Interests: biostatistics; bioinformatics; machine learning; cattle breeding
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the process of acquiring large amounts of data has intensified in ruminant farming and especially in cattle breeding. Various types of sensors monitoring the animal and its environment on an online basis provide thousands of measurements, the management of which often becomes a problem. On the one hand, reducing rich information to numbers only makes us lose sight of the animals. On the other hand, it is impossible to imagine the functioning of animal breeding without statistical analysis. The accumulation of large datasets forces the development of new techniques for their analysis. Sometimes conventional statistics is not enough, and it is necessary to use artificial intelligence.
We are pleased to invite you to share with this Special Issue of Animals your achievements, discoveries, and thoughts in which an important role is played by the processing and analysis of large datasets and the inference from the obtained results. These do not need to be groundbreaking discoveries, since even attempts to explain an issue related to the subject can carry important clues for other researchers.
In this Special Issue, original research articles and reviews are welcome.
We look forward to receiving your contributions.
Dr. Daniel Zaborski
Prof. Dr. Wilhelm Grzesiak
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Animals is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- data mining
- biostatistics
- ruminant
- farming
- breeding
- genomic analysis
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