A production-scale evaluation of nutritional monitoring and decision support software for free-ranging cattle in an arid environment

2021 ◽  
Author(s):  
Rachel J. Brooks (Turner) ◽  
Douglas R. Tolleson ◽  
George B. Ruyle ◽  
Dan B. Faulkner
2018 ◽  
Vol 31 (6) ◽  
pp. 1683-1694 ◽  
Author(s):  
I. E. Livieris ◽  
T. Kotsilieris ◽  
V. Tampakas ◽  
P. Pintelas

2009 ◽  
pp. 440-447
Author(s):  
John Wang ◽  
Huanyu Ouyang ◽  
Chandana Chakraborty

Throughout the years many have argued about different definitions for DSS; however they have all agreed that in order to succeed in the decision-making process, companies or individuals need to choose the right software that best fits their requirements and demands. The beginning of business software extends back to the early 1950s. Since the early 1970s, the decision support technologies became the most popular and they evolved most rapidly (Shim, Warkentin, Courtney, Power, Sharda, & Carlsson, 2002). With the existence of decision support systems came the creation of decision support software (DSS). Scientists and computer programmers applied analytical and scientific methods for the development of more sophisticated DSS. They used mathematical models and algorithms from such fields of study as artificial intelligence, mathematical simulation and optimization, and concepts of mathematical logic, and so forth.


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