Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk.

C. Kamphuis; D. Pietersma; R. van der Tol; M. Wiedemann; H. Hogeveen

Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk.

C. Kamphuis
, D. Pietersma
, R. van der Tol
, M. Wiedemann
, H. Hogeveen

extern

Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	169-181
Number of pages	13
Journal	Computers and Electronics in Agriculture
Volume	62
Publication status	Published - 2008

Cite this

@article{0f940c94cb9343248032b242240cd042,

title = "Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk.",

author = "C. Kamphuis and D. Pietersma and \{van der Tol\}, R. and M. Wiedemann and H. Hogeveen",

year = "2008",

language = "Undefined/Unknown",

volume = "62",

pages = "169--181",

journal = "Computers and Electronics in Agriculture",

issn = "0168-1699",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Using sensor data patterns from an automatic milking system to develop predictive variables for classifying clinical mastitis and abnormal milk.

AU - Kamphuis, C.

AU - Pietersma, D.

AU - van der Tol, R.

AU - Wiedemann, M.

AU - Hogeveen, H.

PY - 2008

Y1 - 2008

M3 - Article

SN - 0168-1699

VL - 62

SP - 169

EP - 181

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

ER -