AI APPLIED IN RAISING CATTLE PREDICTION

Horia Demian ()
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Horia Demian: University of Oradea, Management Marketing Department, Faculty of Economic Sciences, Oradea, Romania

Annals of Faculty of Economics, 2020, vol. 1, issue 1, 342-347

Abstract: This paper presents the results obtained from the testing of an algorithm based on artificial intelligence applied to data on cattle breeding, over a period of several years. Following the application of this algorithm can be made predictions regarding the weight gain of cattle according to their age, their type, the input weight and the number of days we propose to keep him fattening. Prediction can help us make decisions about future sales contracts, simply by the fact that we can know a weight that we can achieve for existing cattle after a certain number of days.

Keywords: Artificial Intelligence; raising cattle (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ora:journl:v:1:y:2020:i:1:p:342-347

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