Systems and methods for assessing the homogeneity of feed mixtures for farm animals (review)

Author:

Mironova I. V.1ORCID,Latypova E. H.2ORCID,Nikitin E. A.3ORCID,Blagov D. A.3ORCID

Affiliation:

1. Bashkir State Agrarian University; Ufa State Petroleum Technological University

2. Bashkir State Agrarian University

3. Federal Scientific Agroengineering Center VIM

Abstract

Relevance.  When  forming  a  diet  for  feeding  animals  that  are  kept  in  modern  livestock  complexes,  the farmer  pursues  an  exceptionally  rational  approach  in  terms  of  livestock  productivity  and  the  period  of productive  existence  of  animals.  First  of  all,  the  provision  of  these  indicators  forms  the  quality  of  animal feeding, expressed in the total nutritional value of the diet and the quality of mixing the components that make up its composition.Methods. The updating of the direction of scientific research was carried out on the basis of a preliminary literary  review  of  modern  publications  in  the  international  journals  Journal  of  dairy  science,  Robotics and  autonomous  systems  and  Agriculture.  In  addition,  the  functionality  of  modern  analytical  equipment from  world  manufacturers  used  in  agriculture  was  analyzed.  The  technical  solutions  of  the  exhibits  of industry  exhibitions,  as  well  as  the  accompanying  documentation,  are  considered.  The  existing  methods for  determining  the  homogeneity  of  feed  mixtures  for  farm  animals  have  been  studied,  advantages  and disadvantages have been identified.Results .  The  existing  methods  for  estimating  the  homogeneity  of  feed  mixtures  are  considered.  A  new concept has been proposed for constructing a system for determining the homogeneity of feed mixtures by  optical  methods,  which  is  based  on  express  measurement  of  the  optical  properties  of  feed  mixture components on the surface of a conveyor belt or mixing unit, the use of which will allow you to manage the temporary modes of mixing feeds and assess the serviceability of the machines and units used.

Publisher

Agrarian Science

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