Literature DB >> 7673527

A decision support system for evaluating mastitis information.

H G Allore1, L R Jones, W G Merrill, P A Oltenacu.   

Abstract

A data-driven decision support system, MAST, was developed to summarize systematically the DHI data related to mastitis. MAST determines weaknesses and problems of a mastitis control strategy by pinpointing problem areas, highlighting the scope of the mastitis problem, providing reference values for comparison, offering potential solutions to problem areas, and monitoring changes in the control strategy. Advantages of a DHI data-driven system include accuracy of input data, fast execution speeds, access to untapped information available in DHI data, and a consistent analysis of data. An on-farm decision support system allows the evaluation of the mastitis control strategy at any time, which in turn increases the value of DHI information. The sequence of the graphical results allows users to understand intuitively the overall mastitis problems, find the potential origins, and assess their impact on the herd. Color-coded graphs with supplementary text allow for a rapid analysis of level and trends over time, as well as comparisons among parities, lactation stages, and active and culled cows.

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Year:  1995        PMID: 7673527     DOI: 10.3168/jds.S0022-0302(95)76761-3

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  1 in total

1.  Prediction of breeding values for dairy cattle using artificial neural networks and neuro-fuzzy systems.

Authors:  Saleh Shahinfar; Hassan Mehrabani-Yeganeh; Caro Lucas; Ahmad Kalhor; Majid Kazemian; Kent A Weigel
Journal:  Comput Math Methods Med       Date:  2012-09-09       Impact factor: 2.238

  1 in total

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