The VetMet Veterinary Decision Support System for Airborne Animal Diseases

Havskov, Jens; Alexandersen, Søren; Astrup, Poul; Christensen, Knud Erik; Mikkelsen, Torben; Mortensen, Sten; Pedersen, Torben Strunge; Thykier-Nielsen, Søren

doi:10.1007/978-1-4020-8453-9_22

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, these systems offer great benefit to the dairy enterprises by assisting decision-making process in the management programs. Table-1 [20][21][22][23][24][25][26][27] lists some of the commercially available DSS which have been well adopted by farmers and frequently updated incorporating scientific breakthroughs. Efforts to develop an expert system for replacing human expert in dairy cattle judging (based on 12 traits -chest width, fore udder attachment, loin, suspensory ligament, angularity, udder depth, rear leg side view, front teat placement, rear leg rear view, rear teat placement, foot angle, and body depth) by linear approach using data mining applications has been tried in Iran [28].…”

Section: Decision Support Systems (Dss) In Livestock Productionmentioning

confidence: 99%

Data mining and decision support systems for efficient dairy production

2021

View full text Add to dashboard Cite

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.

show abstract