S. A. Shaik Mazhar 1 D. Akila

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Nat.Volatiles&Essent.Oils,2021;8(5):5393-5404
 
5393 
 
Predictive Analytic Framework for Tools Creation and Driving 
Decisions in Livestock Production 
S.A. Shaik Mazhar
1 
D.Akila
2 
1
Research Scholar, Department of Computer Science, Vels Institute of Science, Technology & Advanced Studies (VISTAS), 
Chennai, Email:[e-mail]
 
2
Associate Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, 
Technology & Advanced Studies (VISTAS), Chennai, India. 
Email : [e-mail] 
 
Abstract:
Big data can be provided through operational data collection or the use of remote animal tracking technology in animal production 
systems. The analytical method can be employed to produce data input systemically in order to improve the yield of animals, their 
health and the decision on welfare. the formulation of a theory of live animal architecture in the labs is similar to the concept of a goal 
variable. The use of a single dataset for the creation of a model is made possible by data partitioning., refinement, and evaluation of 
models. The predictive analytic method is completed with final model evaluations. The predictive approach concludes with the final 
model assessment, which includes an approximation of the forecast accuracy and an estimate of the chance to detect events and 
nonevents defined by the target variable. A thorough methodology is provided by a predictive analysis tool to the analysis of vast 
volumes of data to improve animal management and to improve animal prices.