Classification of healthy and mastitis Murrah buffaloes by application of neural network models using yield and milk quality parameters
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- 作者：I. Panchala ; indupanchal33@gmail.com" class="auth_mail" title="E-mail the corresponding author ; I.K. Sawhneya ; A.K. Sharmab ; A.K. Dangc
- 关键词：Electro-chemical properties of milk ; Error back propagation ; Mastitis ; Milk yield ; Murrah buffaloes ; Neural network model
- 刊名：Computers and Electronics in Agriculture
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：127
- 期：Complete
- 页码：242-248
- 全文大小：605 K
文摘
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Mastitis diagnosis with somatic cell counts is lengthy and time consuming process.
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Dairy industry needs rapid, reliable and cost-effective diagnostic test.
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Intelligent model has been developed to detect mastitis in Murrah buffaloes.
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Electro-chemical properties of normal and mastitis milk were used.