Vet World Vol.14 May-2021 Article-25
Review Article
Veterinary World, 14(5): 1258-1262
https://doi.org/10.14202/vetworld.2021.1258-1262
Data mining and decision support systems for efficient dairy production
2. Department of Computer Science and Engineering, Guru Jamb heshwar University of Science and Technology, Hisar, Haryana, India.
3. ICAR-National Dairy Research Institute, Karnal, Haryana, India.
Background and Aim: Gainful livestock farming requires selective breeding of animals with certain heritable desirable traits which gives profitability in terms of farm produce. Modern dairy animals are selected for traits which directly or indirectly contribute to high milk production. The concept of "feed conversion efficiency" in terms of milk production is now vigorously taken up by researchers and farm managers for recognizing and breeding efficient milk-producing animals. The whole concept of economic farming thus requires identification of "elite" animals, meeting above criteria as base population for the farm enterprise. Farmers and animal traders have been selecting best animals based on certain physical characters, which were also accepted by the breeding scientists as phenotypes. Data mining allows uncovering of hidden patterns in the data for better understanding of data relationship for developing suitable models for further improvements. Along with artificial intelligence techniques, data mining has opened new avenues for achieving high resource utilization efficiency and sustainable profitability in livestock production systems. The present review discusses and summarizes various data mining techniques and decision support systems for scientific dairy farming.
Keywords: dairy farming, data mining, decision support systems.
How to cite this article: Balhara S, Singh RP, Ruhil AP (2021) Data mining and decision support systems for efficient dairy production, Veterinary World, 14(5): 1258-1262.
Received: 22-01-2021 Accepted: 02-04-2021 Published online: 22-05-2021
Corresponding author: Sunesh Balhara E-mail: sunesh.balhara@icar.gov.in
DOI: 10.14202/vetworld.2021.1258-1262
Copyright: Balhara, et al. This article is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.